The CSFs, Quality Governance, BPR Performance and Gaining Competitive Advantage

Business process reengineering (BPR) is a popular management approach, which enables organizations to conduct substantial business and technological improvements. Successful implementation of BPR can assist organizations to change their old-fashioned practices into innovative processes through reorganizing and eliminating some processes and/or finding innovative ways to conduct business activities. Studies have shown, successful BPR implementation can. 1) create higher customer satisfaction, 2) increase productivity, 3) build higher flexibility in business processes, 4) improve organizational integrity which shall lead to sustainable competitive advantage for the firm. However, findings by different researches illustrate that up to 70% of BPR’s failures are at implementation stage due to lack of understanding of involved factors by different levels of management in an organization. This paper has exclusively developed the model, which can address the role of different factors in the implementation of Business Process Reengineering (BPR) performance and the ultimate outcome as competitive advantage. In addition, this research studies the influence of company size and business type as a moderator in the relationship between independent variables of study and BPR performance. The proposed model here aims to help planners in identifying a set of critical processes that are aligned with the firm’s strategic performance and then become candidate processes for further implementation.


Introduction
The efficiency of administrative processes has become a major concern for many organizations during the last decades. Hence, to overcome such challenges, different tools and methods have been developed to enhance productivity and efficiency of organizational processes. Among various innovative methods considered, business process reengineering (BPR) has gained widespread attention from both academicians and industry directors. BPR is a popular management approach, which enables organizations to conduct substantial business and technological improvements. Hammer and Champy developed the concept of BPR in early 1990s. According to Hammer and Champy, BPR is a fundamental redesign of organizational processes to create a radical improvement in vital areas such as cost, quality, service, and speed (J. Champy, 1990, p. 120).
In a nutshell, successful implementation of BPR will assist organizations to change their old-fashioned practices into innovative processes through reorganizing and eliminating some processes and/or finding innovative way to do business activities. According to Farmer (2002), successful BPR implementation can 1) create higher customer satisfaction, 2) increase productivity, 3) build higher flexibility in business process, 4) improve organizational integrity which shall lead to sustainable competitive advantage for the firm.
Based on findings by (Simchi-Levi, Kaminsky, & Simchi-Levi, 2003), the main focus of firm in the 1980s and 1990s was to develop new manufacturing technologies and supply chain management strategies which allowed them to reduce costs and consequently achieve sustainable competitive advantage in markets via lower overall price. However, thanks to advance technologies (e.g., Flexible Manufacturing System-FMS, Computer Aided Design-CAD, enterprise resource planning-ERP) which are affordable and accessible for many small & medium companies performed step-by-step quality control as part of the total production processes, whereas, US companies used their quality control departments to identify reject products at the end of the production processes. However, as these products' defects were only identified at the end of the production processes, related costs and customer dissatisfaction were unacceptably high. Japanese companies on the other hand did not use a quality control department, but included quality controllers as part of the project teams. They identified that by rejecting the defected products at a much earlier stage can reduce the cost and gain better yields, greater efficiency, and higher productivity (Black & Porter, 1996;Mohapatra, 2013).
Based on the success achieved by Japanese manufacturing companies, organizations elsewhere started showing interests in innovative techniques to improve the business process. In the late half of the 1980s and early 1990s, companies in the United States and West Europe have introduced business process reengineering programs (BPR) as a substantial solution to improve performance. Implementation of BPR has given the competitive edge to companies to gain better market position in 1990s (Mohapatra, 2013;Oppenheim, 2011) (see table 1).
The concept of BPR first emerged in early 1990s (e.g., Davenport, 1993;Hammer, 1990;Hammer & Stanton, 1999). Although, different definitions of BPR seem to exist. The most commonly used definition comes from Hammer et al., (1993), who defined business process reengineering as the redesign of business processes in order to dramatically improve performance in terms of cost, quality, service, and speed. The application of BPR in seismic data processing and interpretation management Fu et al. (2013) The Need for BPR and Its History Mohapatra (2013) Are companies planning their organizational changes for corporate sustainability?
An analysis of three case studies on resistance to change and their strategies to overcome it.
Lozano (2012) A brief history of recent management paradigms. Lean for systems engineering lean enablers for systems engineering Oppenheim (2011) Business process re-engineering in the logistics industry: a study of success factors, and performance. Shen et al. (2010) The critical success factors of business process management. Trkman (2010) Business process change: a guide for business managers and BPM and six sigma professionals: Harmon (2010) ERP implementation: An integrative methodology. Al-Mashari et al. (2010) Do business process reengineering projects payoff? Evidence from the United States.
Ozcelik (2010) The role of BPR in the implementation of ERP systems. Subramoniam et al. (2009) Reengineering the Corporation: Manifesto for Business Revolution Hammer& Champy (2009) Exploring the relationships between information technology adoption and business process reengineering. Lee et al. (2009) Business process reengineering: critical success factors in higher education. Ahmad et al. (2007) Assessing the impact of information technology on firm performance considering the role of intervening variables: organizational infrastructures and business processes reengineering. Albadvi et al. (2007) The state of business process reengineering: a search for success factors. Paper & Chang (2005) Application of principles of event related open systems to business process reengineering. Chiplunkar et al. (2003) Business process re-engineering in Malaysian banks and finance companies. Khong & Richardson (2003) BPR implementation process: an analysis of key success and failure factors. Al-Mashari & Zairi (1999) Implications of business process management for operations management. Armistead & Machin (1997) Business process re-engineering and process management: a survey of current practice and future trends in integrated management.

Leadership and BPR Performance
According to Elmuti and Kathawala (2011), leaders in an organization which is implementing change, need to be visionaries, communicators, motivators, and leg breakers. Leadership has to be committed to the change. One issue that appears to remain as a problem, is middle managements' view of the change and unwillingness to Some of the recommended methods aimed at reducing resistance to change and hence moving the organization towards a culture that embraces change are communications with employees, empowering employees, allowing employees to make decisions, and training. According to Lewin, who works in organizational change, found these methods to be successful. Both organizational change theorists and specifically BPR theorists (Al-Mashari, et al., 2010;Baer & Frese, 2003;Berthon, Mac Hulbert, & Pitt, 2004;Black & Porter, 1996;Brown & Leigh, 1996;Caron, Jarvenpaa, & Stoddard, 1994;J. A. Champy & Nohria, 1996) agree with Lewin's findings. Therefore, to examine the relationship between leadership support level and BPR performance, the following hypothesis is developed.
Proposition 1: There is a relationship between leaders' support level and BPR performance.

Employee and BPR Performance
According to the literature review, it has been often noted that 'people are the bedrock of every organization', and as there are many people, so are emotions, concerns, beliefs, intelligence, inclinations, etc. Hence, the presence and ability to propel individuals to act within the confines defined in a successful implementation becomes imperative. Hurt et al. (1977) was one of the earliest researchers to attempt to define innovativeness, expressing it as a 'willingness to change'. Midgley and Dowling (1978) articulate innovativeness as a form of innate personality trait. Goldsmith and Hofacker (1991) define it as both an attitude and a behavior. However, Hjalager (2010) ascertains that 'innovativeness conveys some behavioral change in response to a stimulus'. Zaltman et al. (1971) and Berthon et al. (2004) depict innovativeness as 'open-mindedness', 'enterprising', 'willingness to change', 'ability to innovate' or to be creative. This conceptualization underscores the current authors' emphasis on what Mengesha and Common (2006) refer to as a firm's receptivity and "willingness to forgo old habits and try untested ideas" (2006, p. 66). Similarly, (Cotte & Wood, 2004) conceptualize it as the tendency to embrace change and try new things.
The second human factor which can influence employees to be committed to BPR is self-efficacy or sense of purpose and effectiveness. Theory of self-efficacy triangulates the relationship between the individual's personality, behavior and environment. Simply described, self-efficacy determines whether tools and capabilities are necessary to accomplish specific tasks. Studies show that increasing self-efficacy has been claimed to improve the rate to accept the novel phenomena (in this study BPR Implementation) by individual.
Another personal factor which can influence the commitment to BPR implementation is the individual fear of change. Fear of change may be attributed to more than a tendency toward regularity. BPR can be associated with many unknown consequences. According to Hopkins (2003), the delay in an organization's response which may be as a result of a closed mindset of management, delusions of superiority, ingrained strategies, rigid assumptions about the industry and competition, entrenched culture or rigid structure systems which further emphasize resistance to change, cultivates a good and conducive atmosphere where radical changes within the organization can be implemented; such that a collapse of this resistance will in itself generate an enormous pressure that would yield a more than proportionate gain.
According to Griffith (2005) "organizations need to create organizational cultures that permit risk taking and that do not punish employees for failures, but one that allows employees to learn from their mistakes" (p. 42). Schein's (2004) definition of culture is a pattern of shared basic assumptions that was learned by a group as it solved its problems of external adaptation and internal integration, that has worked well enough to be considered valid and, therefore, to be taught to new members as the correct way to perceive, think, and feel in relation to those problems (p. 17).
BPR studies conducted by (Edward & Mbohwa, 2013;Fu, et al., 2013) have found that to implement BPR successfully, leadership needs to create a culture that embraces change. According to Agrawal and Cockburn (2003), for employees to be innovative, there needs to be a culture that is willing to embrace change and take www.ccsenet.org/ijbm International Journal of Business and Management Vol. 8, No. 24;2013 52 risks. According to Paper and Chang (2005), in order for innovation to increase, leadership has to remove the fear of failure and promote risk taking. Banutu-Gomez (2002) suggested that company should be willing to trust employees to make decisions even if they are the wrong decisions and encourage employees to learn from their mistakes. To test the relationship between employee willingness and level of performance, the following hypothesis has been developed: Proposition 2: There is a relationship between employees' willingness and level of BPR performance.

Infrastructure and ITC Supports and BPR Performance
Additional studies implemented and developed by (Albadvi, Keramati, & Razmi, 2007;Herzog, Tonchia, & Polajnar, 2009;Shen & Chou, 2010), have suggested that organizations implementing BPR need to have a good ITC supports and technology infrastructure. Without a good infrastructure, it will be harder to implement new systems and integrate new business processes. Moreover, previous researchers stated that ITC as an indispensible enabler is needed to achieve the best results in BPR implementation, and particularly its integration in processes should be utilized in redesign activities.
According to (Motwani & Akbulut, 2009), IT is introduced as a critical component and even a natural partner of BPR, which has a continuous and important role in BPR projects. Many authors have described that successful application of IT is effective in the success of BPR, both during adoption and implementation processes. Contrarily, overlooking the role of IT can result in failure, as assessed from literature by (Motwani & Akbulut, 2009;Ozcelik, 2010).
According to BPR studies developed by (J. Champy, 1990;Chapman & Kihn, 2009), they suggested that in order for organizations to excel, to find that breakthrough performance, they need to use information systems or technology to enable new processes. Just automating the old system will not gain the benefits of sharing information across functional boundaries. Grover and Markus, (2008) found that within the three types of information systems developed; intra-functional (e.g. within a function), inter-functional (eg., crossing functional areas), and inter-organizational (e.g. crossing multiple organizations), the biggest benefits were inter-functional or inter-organizational projects.
According to Rivard et al. (2004), "technology plays an important role in both driving and facilitating change. Technology increases response, helps coordinate actions, and makes possible the development of new products and services" (p. 11). Moreover, the studies conducted by (Hammer, 1990;Hammer & Champy, 2009;Hammer, et al., 1993;Hammer & Stanton, 1999), have suggested an organization should have a specific framework to see connection or integration of IT with other departments in order to benefit from them so as to enable BPR implementation.
According to current studies, IT is one of the major factors, which help putting all the systems together and in place. IT plays an important and central role in the BPR adoption, implementation and subsequent performance to achieve competitive advantage. As Khalilet al., (2013) indicated, most of the initiatives of BPR came from the IT department, which is true in substantiating the fact that BPR started from the IT department, which tried to find a new way of doing things effectively and efficiently. Thus, to test the relationship between infrastructure and IT and BPR performance the following hypothesis has been developed: Proposition 3: There is a relationship between infrastructure and ITC and BPR performance.

Processes, Procedures and BPR Performance
In order to successfully implement business process reengineering projects, companies need to follow a systematic approach. Although there is no set formula (Caron et al., 1994), several different approaches have been proposed. Evans (1994) uses a bridging metaphor to describe a broad framework for BPR projects. He proposes a four-stage process: (1) defining vision; (2) outlining the current business process; (3) creating a plan for the redefined process; and (4) implementing the plan. This seems feasible but provides little insight into how the new process should be designed.
In the process of BPR, business management and operation procedures are standardized. Meanwhile such platform can provide information about materials preparation and cost on entire project dynamically and concurrently, which can help enterprises to realize target cost management. Ahmad et al., (2007) found that a proper organizational system is important for the success of BPR. Systems should include elements such as common interests, values, and decision making, which showed linkages to culture and structure in various case studies findings.
To survive in a highly competitive business environment, companies are subject to continuous change of their www.ccsenet.org/ijbm International Journal of Business and Management Vol. 8, No. 24; business processes. Therefore, creativity and innovation is essential for 'BPR Performance Initiatives' to accomplish successful achievements. An initiative to change a business process should come from the top, i.e. from the top management, so the transition of process ownership is very important and necessary. The employees, who work with new processes have to own them, otherwise the project, will tend to fail (Caron, et al., 1994). Most companies lack process owners or they are defined to a minor extent, which is the consequence of a traditional organization of people and their thinking, which is not process oriented (Hammer & Champy, 2009).
According to (Hammer & Champy, 2009), the task of a process owner is not to do business reengineering but to make it happen. It is therefore, not surprising that process owners should be the persons of trust and confidence with quite high reputation, respect, toleration and readiness to change. Al-Mashari et al., (2010) cited undetermined process owners as one of the factors leading to the failure of BPR, while Grover and Markus (2008) emphasized the lack of process owners as a barrier in BPR.
Non-existent or inadequate documentation can be another reason for problems during BPR implementation. Guha and Kettinger (1993) paid specific attention to the importance of clearly understand the existing business processes before implementing BPR; therefore, processes need to be documented first, which is also supported and endorsed by Donovan (2002).
According to recent studies conducted by (Grover & Markus, 2008), it is emphasized that 'Inappropriately defined business processes can also be a reason for BPR failure'. Even too broad or too narrowly defined processes can lead to the failure of a BPR project.
Several authors (Grover & Markus, 2008;Meadows & Merali, 2003;Rich & Bateman, 2003), have also acknowledged 'the articulation of a strategic intent to diligently focus on existing scenario and the requirements for redesigned processes'. Business process capabilities provide significant strategic opportunities (Roth and Jackson, 1995) and the processes themselves may be viewed as strategic assets. Armistead and Machin (1997) provided some examples where companies have linked their long-term plans with annual plans for key business processes. Process management is more than a way to improve individual processes, it is a way to operate and manage a business (Hammer & Stanton, 1999). Therefore, to test the relationship between the process and procedures and BPR implementation, the following hypothesis has been developed: Proposition 4: There is a relationship between the processes and procedures and implementation of BPR.

Quality Governance and BPR Performance
Furthermore, according to Jurison (1999, p. 28), the purpose of project control is: "to keep the project on course and as close to the plan as possible, to identify problems before they happen and to implement recovery plans before unrecoverable damage is done". Al-Mashari et al., (2010) pointed out that "having a comprehensive measurement system provides a feedback mechanism to track implementation efforts, identify gaps and deficiencies in performance, and recommend the necessary actions to fine tune the situation in hand in order to achieve the desired business centred outcomes. Based on earlier findings by Kale (2000), it reaffirms that measures for innovative process reengineering should be: visible, meaningful, small in number, applied consistently and regularly, quantitative and involving personnel closest to the process. Although there is the recognition of the needs to control and monitor a redesigned process and link it to continuous improvement programs, many studied methods, did not reflect the recognition of above mentioned requirements.
Since the implementation of BPR is reengineering project that aim to improve the business process therefore, having the appropriate governing process that can monitor and control the BPR implementation at each stage, appears to be vital and necessary. Thus, to test the role of the quality of governance in the implementation of BPR in oil and gas industry, the following hypothesis is developed: Proposition 5: There is a relationship between the quality of governance of BPR and BPR implementation.

Intervening Role of Company Size and Company Business on the Relationship between CSFs and Implementation of BPR
Literature review emphasizes that company size is one the factors that can influence any business strategy implementation process. BPR implementation in a company involves people and recourses from all levels of company and the size can directly influence the effectiveness of some sub-strategy implementation as well. For example, in the case of employees and human recourse factor, usually in smaller companies, individuals are multi-task players in comparison to large companies, where almost all tasks are highly specialized and focused, in this case the size might influence the level of autonomy in decision making or in broader perceptive to the level of staff empowerment.
Moreover, in medium size companies, usually the organization structure is more flat with fewer hierarchies which can lead to less complicated procedures and more lenient business process compared to big companies that usually have more layers of decision making and less autonomy for managers. On the other hand, in the case of facilities and infrastructure, it seems obvious that bigger companies have more financial recourses and economic of scale and scope to acquire the latest technologies and infrastructures compared or medium size companies that focus primarily on particular business models. To test the moderation role of company size on the relationship between CSFs (leadership, people, infrastructure and IT, process and procedures and quality governance) and implementation of BPR, the following hypothesis has been developed: Proposition 6: Company size (medium/big) can moderate the relationship between CSFs and implementation of BPR.
Another factor that can play a major role in the proper implementation of BPR is the companies' nature of business in the oil and gas sector. Therefore, to test the moderation role of the type of industry on the relationship between CSFs (leadership, people, infrastructure and IT, process and procedures and quality governance) and implementation of BPR, the following hypothesis has been developed: Proposition 7: Industry characteristics can moderate the relationship between CSFs and implementation of BPR.

BPR Performance and Gaining Competitive Advantage
Organizations are continuously seeking for innovative ways to operate in order to survive in a competitive business environment. The increasing competitive pressure that organisations currently face forces them to find ways of minimizing the time it takes to develop the product, bring products to the market and offer efficient and effective service to clients, whilst at the same time, maximizing company's profits. Many leading organizations have conducted BPR in order to improve productivity and hence, gain competitive advantage.
However, there are some cases that even if company could successfully implement the BPR, the outcomes were not up to their expectation as the objectives of BPR were not set accurately from the first step. In fact PBR is a tool for change management and modifying the business processes, and if the company has failed to set the suitable goals and objectives for PBR adoption and implementation, even though, company may be able to implement it successfully, the outcome might not be in the favour of company's goals, which is gaining better position in the market place and achieving competitive advantage. Thus, to test the relationship between the success rate of BPR and gaining competitive advantage in the oil and gas industry, the following hypothesis has been developed: Proposition 8: There is a relationship between the performance success rate of BPR and gaining competitive advantage in the market.

Research Method
Theoretically, there are two major research methods, quantitative and qualitative. Each method is considerably different in the way data are collected and analyzed. The two research methods have advantages and disadvantages when applied to a particular phenomenon. Both methods are widely used in social research including business research (Babbie, 2004;Saunders et al., 2007, p. 123).
Additionally, in recent years, evaluators of educational and social programs have expanded their methodological repertoire with combining quantitative and qualitative method. The third method was born. Scholars call it "Mixed Method". Mixed Methods research is becoming an increasingly popular approach in several areas, and it has long been called for as an approach for providing a better understanding of research problems (C. Greene, Caracelli & F. Graham, 1989 more than social constructivism. That is because, 1)-This study is based on sense, experience and positive verification and according to the positivism philosophy, just this type of a research can be authentic knowledge.
2)-According to this philosophy, the goal of any research is to explain and predict and the ultimate goal of current study is to predict and explain the CSFs which shall Impact Quality Governance in BPR implementation among Oil and Gas Companies. 3)-According to positivism philosophy, scientific knowledge is testable.
Research can be proved only by empirical means, not argumentations. Research should be mostly deductive, i.e. deductive logic is used to develop statements that can be tested (Laudan, 1996). In current study, also theory leads to hypothesis which in turn leads to discovery and/or study of evidence. For all above reasons, the philosophy of this study is bested on positivism.
The beliefs and experiences of a researcher somehow influence the way a particular research project is conducted.
In particular, the way a researcher views environments or the world surrounding him/her will underlie the choice of which research practices should be used including research approaches, research strategies, etc. In the research community, the researcher's beliefs and experiences are called research philosophy or sometimes called the research paradigm (Uddin & Hamiduzzaman, 2011).
This study used a fixed quantitative design. This non-experimental survey measurement strategy did not manipulate the environment, but simply measured it (Robson, 2002). "The research design involves a series of rational decision-making choices relating to the purpose of the study, the study setting, the type of investigation, the temporal aspects, the unit of analysis, the type of sample to be used as well as the data collection methods, measurement and analysis" (Sekaran, 2003, p. 117). This study investigates and examines "The CSFs of Quality Governance in BPR Implementation among Oil and Gas Companies". A correlational quantitative and explanatory (Hypothesis Testing) research used to test the hypotheses. This study applied correlation statistics to each learning. The study uses appropriate statistical tests that encouraged results with validity, reliability, generalizability, objectivity, credibility, minimal bias, and replicability.

Time Frame (Time Dimension or Time Horizon)
Data collection time horizon for this study is cross-sectional. Cross-sectional study; is based on observations of a sample, population, or phenomenon that are made at a single point in time (Babbie, 2004). Most research projects, especially in business, are cross-sectional studies because they often face a certain level of constraint, e.g. time, budget, staff, and resource allocation.
The list of companies consisting of email address, telephone number and identified authorized person has been developed. Data will be obtained from industry directory and through the researcher's networks. A paper (via mail) or electronic (email and Google questionnaire) self-administrated questionnaire will be sent to the participants who have given the initial approval to participate in this research and have experience in implementation of PBR.

Data Collection Method
Data collection is a term used to describe a process of preparing and collecting data. Data collection methods are an integration part of research design (Sekaran, 2003). Several data collection methods have been known, each one has its own advantages and disadvantages. Proper research with the use of appropriate methods greatly enhances the value of the research. The purpose of data collection is to obtain information to keep on record, to make decisions about important issues, to pass information on to others. Primarily, data are collected to provide information regarding a specific topic. Data can be collected in a variety of ways, in different settings, fields or methods which include interviews, face to face interviews, telephone interviews, computer assisted interviews, interview through the electronic media; Questionnaires that are either personally administered, sent through the email or electronically administered; Observation of individuals and events with or without videotaping or audio recording and a variety of other motivational techniques such as projective testes (Sekaran, 2003).

Questionnaire Development
The questionnaire consisted of several types of questions. The general questions were constructed to collect basic information about respondents such as questions relating to demographic and basic information of the company. The questions included type of industry, size, the existence of company in business and the main regional business focus.
The instrument for data collection of this study is a questionnaire, which consists of four parts. The first part of questionnaire covers the questions regarding the level of leadership involvement and style in implementation of www.ccsenet.org/ijbm International Journal of Business and Management Vol. 8, No. 24; BPR project. In this part, participants are asked to rate their idea about leadership in organization (1 = Very Low, 6 = Very High). Second part of questionnaire focuses on the involvement of employees toward BPR project, level of infrastructure and ITC supports, accuracy of BPR procedure and process, and quality governance of BPR project (1 = Very Low, 6 = Very High).
The third part of questionnaire covers questions about BPR implementation success and the rate of gaining competitive advantage by improving the quality, time management, customer satisfaction, human resource management and flexibility to respond to market demand (1 = Very Low, 6 = Very High) (see table1). The last part of the questionnaire focuses on demographic information of the company such as: company's size (medium, big), industry characteristics, and business type & characteristics.  2-Level to which in-company education, about the need for changes, is built.

List of Measurement Items
3-Level to which employee contribution to better process operating is recognized.
4-Extent to which the benefits of BPR are exposed within the company.

Data Processing and Data Analysis
Data Processing: Is a step that entails various activities such as data entry of responses, screening the data and www.ccsenet.org/ijbm International Journal of Business and Management Vol. 8, No. 24; selecting the suitable data analysis strategy (Churchill and Lacobucci, 2009;Sekaran, 2007). In order to identify data entry errors, data screening is performance which include; missing data, outlier, normality, reliability, validity, descriptive data and test of response bias (Al-Majali, 2011).
Data Analysis: According to Sekaran (2007) researchers analyze data for three objectives: 1) Getting a feel for the data; 2) Testing the goodness of the data; 3) Testing the hypotheses developed for the research.
In current study, two types of analyses have been used; descriptive analysis and inferential analysis. Descriptive statistics such as means, standard deviations, frequency, percentage, reliability coefficients, zero-order correlations, and ranges were computed for all the items in the surveys. SPSS software will utilize to carry out some of the statistical tests and to measure the frequency distribution and correlation matrixes. The reliability of the questionnaire and internal consistency of the data was estimated by calculating Cronbach Alpha for each scale. On the other hand, in order to analyze data and do the hypothesis testing and to test the proposed relations among the variables in the model and consequently to achieve the objectives, this study will use the Structural Equation Modeling (SEM) and its application, AMOS.
SEM is a multivariate technique, which combines components of multiple regression and factor analysis (Hair et al., 2010). This technique is considered adequate for the type of investigation carried out by this study since it allows for answering questions that involve multiple regression analysis of factors among a single measured dependent variable and a group of measured independent variable (Ullman, 2007). According to Hair et al. (2006), SEM is used to test theoretical models. A structural equation model normally consists of two types of models:  The Measurement Model that represents the theory and which specifies how measured variables come together to represent latent factors.


The Structural Model which represents the theory specifying how constructs are related to other constructs in the model. SEM has been used to measure the relationships between the independent variables and dependent variables. Since this study required the hypothesized models to be tested for the best-fit, SEM seemed to be the appropriate analysis method as it produces more comprehensive overall goodness-of-fit than those found in other traditional methods.
The best-known SEM statistical programs include LISREL (Linear Structural Relationship) and AMOS (Analysis of Moment Structure. AMOS was developed by Arbuckle and Wothke (2006) and has a number of advantages over the other programs. AMOS as a software package (Arbuckle, 1997;Byrne, 2001;Tabachnick & Fidell, 2001) will be used for SEM as it is user-friendly software which provides a graphical user interface, which is easy to understand. The package has a user-friendly graphical interface and method of specifying structural models (Tabachnick & Fidell, 2001).
In conclusion, in order to analyze data, current study has used "SPSS" software and "AMOS" software. SPSS has been used because: 1)-SPSS software can measure the frequency distribution and correlation matrixes by carrying out some of the statistical testes. 2)-The reliability of the questionnaire and internal consistency of the data must be estimated and SPSS will enable the researcher to achieve this by calculating Cronbach Alpha for each scale.
On the other hand, AMOS has been used because: 1)-It is easy to use the program to show hypothesized associations among variables. 2)-It is widely used in the field of management studies for the structural equation models.
Confirmatory Factor Analysis (CFA) can also be used to assess measurement invariance with respect to gender and other demographic variables, which is part of the investigation carried out in this study.

Theoretical Implications
The theoretical implications of the research include: 1) The CSFs of QG in BPR Implementation among O&G Companies researched & explored in depth; 2) Looking at BPR from Organizational Perspective; 7) Creative and Innovative Quality Governance has significant relationship with high success rate of BPR implementation, evolutionary performance and firm's competitive advantage on measurement of many pivotal aspects.

Practical Implications
Using framework as a research tool in examining determinant factors in the decision to implement BPR as well as other management innovations in other context: 1) The research results should support the research framework and hypothesis as well as providing significant contributions to the Body of Knowledge, which will guide the business planners to identify and execute the CSFs influencing QG in successful BPR implementation, higher performance to gain competitive advantage; 2) Firms need to identify, acquire and retain customers, to understand Clients' requirements, and to develop customer loyalty in order to maintain and increase profits, So, the achievement of the research goals & objectives would guide academic research to explain, recognize and explicate the CSFs influencing QG in successful BPR implementation, Firm's performance to gain competitive advantage; 3) The results shall emphasize that policy makers have to give more supports towards the BPR changes from top management, greater flexibility, emerging market and customer orientation, having a better perception of ITC solutions, systems, processes & procedures, improve QG, increasing competitiveness and keeping more intimate relationships with employees so as to achieve higher levels of engagement with them to maintain enhanced performance resulting in firm's greater competitive advantage; 4) Policy makers in the O&G Sector, need to examine their current communication tactics in order to develop more effective ways of business conduct with their clients & suppliers of materials and services; 5) O&G managers should consider that BPR is a multidimensional phenomenon that should be considered in all levels of the industry; therefore, if they are going to achieve the greater value that can be created by BPR implementation, they should design a suitable organization-wide customer/employee (short & long term) strategy with specific goals.

Discussion
BPR has been considered as an important concept to reshape business organizations for achieving breakthrough improvements in performance. In fact, BPR involves relatively extensive work, not only in emphasizing the concept of processes, but also by requiring understanding in various parts of the organization on topics such as: change management, job definition, processes redesign and reengineering of relevant scope of work, human resources, etc.
The primary contribution of this research is the conceptualization and empirical testing of the CSFs of Quality Governance in BPR implementation and the relevant processes, systems and the subsequent impacts on quality leadership and management functions and measurement of BPR performance leading to competitive advantage for companies.
Additionally, a clear understanding of firms' management and staff attitude and behavior will help in designing appropriate policies and initiatives to enhance & accelerate BPR performance in gaining competitive advantages through utilizing appropriate infrastructure and ICT support and pertinent technologies in companies involved in the Oil & Gas sector. Eventually, the consequences of the study will enable relevant government and private agencies to allocate appropriate resources more efficiently.
Furthermore, the proposed model might be helpful for managers to get better picture of the individual's factors that can influence the intention to adoption and commitment to implementation of BPR. This information can help company's managers to develop the most suitable and efficient strategies for BPR implementation process www.ccsenet.org/ijbm International Journal of Business and Management Vol. 8, No. 24; in order to improve and enhance BPR success rates by understanding the Critical Success Factors (CSFs) that can influence the rate of BPR performance success, which shall lead to gaining competitive advantage.