January 2020
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8 Reads
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1 Citation
International Journal of Research Innovation and Commercialisation
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January 2020
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8 Reads
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1 Citation
International Journal of Research Innovation and Commercialisation
January 2020
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9 Reads
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5 Citations
International Journal of Business Continuity and Risk Management
January 2020
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1 Read
International Journal of Research Innovation and Commercialisation
January 2020
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10 Reads
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5 Citations
International Journal of Business Continuity and Risk Management
December 2018
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197 Reads
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8 Citations
International Journal of Energy Sector Management
Purpose Technology is named as the most important element of creating the competitive edge in today’s turbulent environment and a key factor of survival in technology-intensive industries. Oil and gas industry is one of the most important, complex and technology-driven amongst the global industries. Although there have been studies on the importance of the business model change for the players aiming to survive, naming technology as the main reason is yet to be highlighted. To answer the question: does technology have an impact on the business model innovation in the oil and gas industry? Design/methodology/approach In this paper, the authors conduct an in-depth review of previous studies of oil and gas industry, main players, the role and evolution of technology in each player’s business model and present future challenges and trends of the industry. Findings Finally, theoretically, the results of this study are in line with the theory presented by Baden – Fuller and Haefliger (2013) on the relation between technology and business model innovation, thus it helps the robustness of the theory as well. we argue that technology gained a “game changer” status in the oil and gas industry, beside all the fundamental premises on which business model is built on, having technology seems to be the key element of survival and the ability to develop in-house or have access to the latest ones in the right time can help the market share, revenue and leadership status. In addition, most of the research studies in the oil and gas industry are practical focusing on a specific technology, clean energy issues, regulations, policies, etc. There exist few studies that present the theoretical issues in the industry or test the theories to see if this important industry falls within them or not. Originality/value As follows, this study is about to address this gap and observe the dynamics in the oil and gas industry with an academic lens.
January 2017
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65 Reads
International Journal of Business Performance and Supply Chain Modelling
The argument attempts to elaborate the study of the effect of collaborative knowledge management practice (CKMP) on supply chain performance (SCP) in Iranian oil industry to find out the relation of organisational infrastructure, and elements of knowledge management practice in Iranian oil industry. This study is conducted among the 120 managers who work at the oil companies. The self-administrated questionnaire was performed to gather data and to process and analyse the data descriptive and inferential statistics were used. The findings illustrated that the success of collaborative KMP is created on: 1) organisational factors like managerial engagement, supportive culture, employee devotedness; 2) technology capability to handle like large scale inter organisational system; 3) facilitating environmental factors like high operational uncertainty and collaborative trading partners; 4) compatible knowledge bases of all parties. Likewise, the outcome indicates that collaborating with each trading partners in KM can enhance the knowledge quality, integration with partners and SCP.
January 2017
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42 Reads
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2 Citations
International Journal of Business Performance and Supply Chain Modelling
The argument attempts to elaborate the study of the effect of collaborative knowledge management practice (CKMP) on supply chain performance (SCP) in Iranian oil industry to find out the relation of organisational infrastructure, and elements of knowledge management practice in Iranian oil industry. This study is conducted among the 120 managers who work at the oil companies. The self-administrated questionnaire was performed to gather data and to process and analyse the data descriptive and inferential statistics were used. The findings illustrated that the success of collaborative KMP is created on: 1) organisational factors like managerial engagement, supportive culture, employee devotedness; 2) technology capability to handle like large scale inter organisational system; 3) facilitating environmental factors like high operational uncertainty and collaborative trading partners; 4) compatible knowledge bases of all parties. Likewise, the outcome indicates that collaborating with each trading partners in KM can enhance the knowledge quality, integration with partners and SCP.
January 2016
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68 Reads
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1 Citation
International Journal of Knowledge Management Studies
The first goal of this survey was to clarify the association among five components of collaboration knowledge management practice (KMP, i.e., creating, storage, accessing, dissemination, and applying) with supply chain performance of Iranian oil companies, and the ultimate goal was to investigate the impact of three various KMP components (i.e., perceived KMP benefits, collaboration KMP, and KMP impacts) on supply chain performance. The quantitative method was chosen to gather the data from 120 managers who worked in oil companies at the beginning stage of second semester of 2015. Then, based on the purpose of this research, the 78-item KMP questionnaire was administered in one session as research instruments. The descriptive analysis and two-tailed Pearson's product-moment correlation coefficient were applied to test the hypotheses. The founded results illustrated that there are positive correlation between five components of collaboration KMP and three various components of KMPs on supply chain performance.
January 2016
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54 Reads
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2 Citations
International Journal of Knowledge Management Studies
The first goal of this survey was to clarify the association among five components of collaboration knowledge management practice (KMP, i.e., creating, storage, accessing, dissemination, and applying) with supply chain performance of Iranian oil companies, and the ultimate goal was to investigate the impact of three various KMP components (i.e., perceived KMP benefits, collaboration KMP, and KMP impacts) on supply chain performance. The quantitative method was chosen to gather the data from 120 managers who worked in oil companies at the beginning stage of second semester of 2015. Then, based on the purpose of this research, the 78-item KMP questionnaire was administered in one session as research instruments. The descriptive analysis and two-tailed Pearson's product-moment correlation coefficient were applied to test the hypotheses. The founded results illustrated that there are positive correlation between five components of collaboration KMP and three various components of KMPs on supply chain performance.
April 2015
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584 Reads
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3 Citations
Decision Science Letters
Technology transfer, from research and technology organizations (RTOs) toward local industries, is considered as one of important and significant strategies for countries' industrial development. In addition to recover the enormous costs of research and development for RTOs, successful technology transfer from RTOs toward local firms forms technological foundations and develops the ability to enhance the competitiveness of firms. Better understanding of factors influencing process of technology transfer helps RTOs and local firms prioritize and manage their resources in an effective and efficient way to maximize the success of technology transfer. This paper aims to identify important effective factors in technology transfer from Iranian RTOs and provides a comprehensive model, which indicate the interactions of these factors. In this regard, first, research background is reviewed and Cummings and Teng’s model (2003) [Cummings, J. L., & Teng, B.-S. (2003). Transferring R&D knowledge: The key factors affecting knowledge transfer success. Journal of Engineering and Technology Management, 20(1-2), 39-68.] was selected as the basic model in this study and it was modified through suggesting new factors identified from literature of inter-organizational knowledge and technology transfer and finally a Delphi method was applied for validation of modified model. Then, research conducted used Interpretive Structural Modeling (ISM) to evaluate the relationship between the factors of final proposed model. Results indicate that there were twelve factors influencing on technology transfer process from Iranian RTOs to local firms and also the intensity of absorption capability in transferee could influence on the intensity of desorption capability in transferor.
... Rehman et al. (2021) indicate that their study has been really limited. For Murphy and Seriki (2021), little attention has been paid to study these companies, which is confirmed by Bandarian (2020), who affirms that more studies are required to explain the construction of competitive advantage (CA) in those businesses, mainly in emerging markets (Mathew et al., 2021). ...
January 2020
International Journal of Business Continuity and Risk Management
... This assertion gained wider acceptance among scholars over time. For example, technology has emerged as the primary driving force for organisations seeking a competitive advantage [5], with TM facilitating this advantage through the creation of customer value [6]. Thus, TM plays a pivotal role in economic development [7], social progress [8], and environmental preservation [9]. ...
January 2020
International Journal of Business Continuity and Risk Management
... Considering the factors that influence the future of O&G, over the years it has become the industry that most invests in research & development (Shuen et al., 2014;Stadler, 2011). It dominates the economic activities of several countries, and uses the invested amounts to discover and exploit oil reserves to make them economically viable, adjusting their business model (Ebneyamini & Bandarian, 2018) according to the risks associated with such exploitation (Ahmad & Zhang, 2020). ...
December 2018
International Journal of Energy Sector Management
... On the other hand, firms attempt to realize more supply chain (SC) collaborative innovation to enhance the knowledge of their partners (Ulhaq et al., 2017;Wang and Hu, 2016). In SC systems, used products might re-enter to the SC process at anywhere (Nagurney, 2006;Taher et al., 2016). In such a complicated system, the acceptance, making, storage, transmission, sharing and application of knowledge management (KM) is the preferred response to the new challenges of the SC (Cerchione and Esposito, 2016;Lim et al., 2017). ...
January 2016
International Journal of Knowledge Management Studies
... A way to reduce the uncertainty about how factors are connected and about the ranking of the factors when managing innovation is the identification of the interrelationships between the factors. Publications such as Romano (1990), Jensen and Harmsen (2001), Walter (2003), Jyoti et al. (2010), Wang et al. (2014), Mazdeh et al. (2015), Tarka (2018), and Sag et al. (2019) determine the interrelationships between the factors enabling innovation success. However, since these publications only evaluate a single process without considering the discreet process stages, limitations similar to input factors are associated with these studies. ...
April 2015
Decision Science Letters