Exploring the nexus between GSCM and organisational culture: insights on the role of supply chain integration

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Francesco Rizzi ◽  
Marina Gigliotti ◽  
Eleonora Annunziata

Purpose This paper aims to investigate the interlinks between different forms of organisational culture (OC), supply chain (SC) integration, green supply chain management (GSCM) practices. It adopts a green human resource management (GHRM) perspective on knowledge, skills and abilities (KSAs) dynamics to shed light on the drivers that facilitate the implementation of green practices along with the SC. Design/methodology/approach The study adopts a quantitative approach through a survey administered to 381 formally appointed Italian SC managers, combining two methodological approaches, namely, the collection of self-reported information regarding the perceived OC, SC integration and GSCM practices in respondent’s organisations and an experimental design aimed at collecting the expected links between GHRM and the firm’s performance in different neutral conditions. Findings The results highlight that it is necessary to observe the disaggregated paths that link the different types of OC and dimensions of SC integration to benefit from a path-specific rationale for each GSCM practice. Insights on how different dimensions of SC integration mediate the relations between different OCs and GSCM practices, in the light of the role played by KSAs in the pursuit of the firm’s sustainable performance, reveal the relative importance of establishing strong relationships with customers and among the actors involved in the production process. Practical implications This paper provides directions for collaboration among SC and HR managers in the pursuit of GSCM. Originality/value This paper adopts an original classification of both OC and SC integration, identifying the existence of previously unrevealed nexuses. Additionally, it provides an original contribution to the extant literature by separately analysing each GSCM practice and, thus, offering detailed insights on their drivers.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shampy Kamboj ◽  
Shruti Rana

PurposeThe main objective of this paper is to study the role of supply chain performance (SCP) as a mediator between big data-driven supply chain (BDDSC) and firm sustainable performance. In addition, the role of firm age as a moderator between BDDSC and SCP as well as between SCP and firm sustainable performance has also been explored.Design/methodology/approachThe 200 managers of medium or senior level positions in micro, small and medium enterprises (MSMEs) located at Delhi-NCR have been contacted. Further, collected data have been confirmed with confirmatory factor analysis (CFA). In this paper, structure equation modeling (SEM) has been employed to empirically check the proposed hypotheses and their relationships.FindingsThe findings confirmed that SCP mediates the link between BDDSC and firm sustainable performance. Additionally, firm age moderates the association between BDDSC and SCP as well as between SCP and firm sustainable performance.Research limitations/implicationsThe role of SCP and firm age between BDDSC and sustainable performance have been examined in the context of MSMEs in Delhi-NCR and thereby limit the generalization of results to other industries and country contexts.Originality/valueThe present study adds to the existing literature via recognizing the blackbox using SCP and firm age to comprehend BDDSC and firm sustainable performance relationship.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zulkaif Ahmed Saqib ◽  
Qingyu Zhang

PurposeSustainability failures have increased the pressure for manufacturing firms to come up with innovative solutions to resolve the sustainable matters. Drawing on the resource-based theory, the purpose of this study is to examine how supply chain visibility moderates the effects of sustainable practices on sustainable performance.Design/methodology/approachThe data employed in the current work were collected from 355 small and medium manufacturing firms in Pakistan using a structured questionnaire. The structural equation modelling was applied to the collected data with AMOSS-23 and SPSS-25 packageFindingsThe results show that sustainable practices (for manufacturing, procurement and distribution) significantly influence the firm's sustainability performance, and this relationship is moderated by supply chain visibility.Originality/valueSustainable practices are necessary for small and medium enterprises to achieve sustainable performance, but the previously under-explored moderating effect of supply chain visibility generally indicates that sharing information for learning, sensing and co-ordinating activities plays an intensifying effect.


2015 ◽  
Vol 28 (6) ◽  
pp. 838-871 ◽  
Author(s):  
Farhad Panahifar ◽  
Cathal Heavey ◽  
PJ Byrne ◽  
Hamed Fazlollahtabar

Purpose – Although many papers purport the significant value attributable to supply chain performance from the use of Collaborative Planning, Forecasting and Replenishment (CPFR), the question of “what are the main constructs and efficient framework for successful implementation of CPFR?” remains largely unanswered. This question will be addressed by identifying and analysing the main constructs for successful implementation of CPFR. The purpose of this paper is to attempt first to seek answers to this question. Second, to review the scope and value of CPFR using a devised state-of-the-art taxonomy for the classification of selected bibliographical references and third, to develop a conceptual framework by identifying areas which need more research. Design/methodology/approach – The method underlying this paper followed the steps of a systematic literature review process outlined by Soni and Kodali (2011). The review is based on a total of 93 papers published from 1998 to 2013 on CPFR. Findings – Four main constructs for successful implementation of CPFR have been identified: CPFR enablers, CPFR barriers, trading partner selection and IA. The findings indicate that there is a need for better understanding of the amount and level of information sharing as an important function of CPFR implementation. The paper also illustrates a number of shortcomings in the current literature and provides suggestions to guide future research on implementing CPFR in different industries. Practical implications – This paper is of interest to both academicians and practitioners as it helps to better understand the concept and role of CPFR in supply chain integration and its implementation results, enablers and inhibitors. The proposed framework in this paper can be used to give insight for future research and practice. Originality/value – The paper offers a framework for the review of previous research on CPFR and identifies the most important shortcomings that need to be addressed in future research. In addition, this review is both greater in scope than previous reviews and is broader in its subject focus.


2019 ◽  
Vol 25 (3) ◽  
pp. 325-341 ◽  
Author(s):  
Aleksandr M. Kitsis ◽  
Injazz J. Chen

Purpose Drawing on multi-theoretical lenses and a combination of supply chain and business ethics literature, this study aims to investigate the role of motives in driving sustainable supply chain management (SSCM) practices and sustainable performance. Design/methodology/approach Using a sample of 205 supply chain companies in the USA, the authors apply structural equation modeling (SEM) analysis to empirically test the proposed model and seven hypothesized relationships. Findings Results of the study underscore the critical role of moral motives, while highlighting that all three types of motives (instrumental, relational and moral) are robust in driving SSCM practices and achieving improvement in all three dimensions of sustainable performance–economic, environmental and social. Research limitations/implications This research can help supply chain scholars develop a more robust subfield of motivation-based SSCM research to gain a deeper understanding of how motives may differentially predict sustainable supply chain practices and performance. Practical implications The results of this study demonstrate the critical links between moral motivation and the triple bottom line (TBL) performance and suggest that managers pay more attention to moral motives in their decision-making. Originality/value This study bridges gaps in the extant literature by incorporating motivation-based antecedents, expanding the scope of SSCM practices, including the social dimension of sustainability and investigating the mediating effects of SSCM practices on the links between motives and the TBL performance.


2014 ◽  
Vol 21 (4) ◽  
pp. 453-475 ◽  
Author(s):  
Sepehr Ghazinoory ◽  
Ali Bitaab ◽  
Ardeshir Lohrasbi

Purpose – In the last two decades, researchers have paid much attention to the role of cultural values on economic and social development. In particular, the crucial role of different aspects of culture on the development of innovation has been stressed in the literature. Consequently, it is vital to understand how social capital, as a core cultural value, affects the innovation process and the innovative performance at the national level. However, to date, the impact of different dimensions of social capital and innovation has not been properly portrayed or explained. Thus, the purpose of this paper is to investigate the influence of four different dimensions of social capital (institutional and interpersonal, associational life and norms) on two of the main functions of national innovation system (NIS) (entrepreneurship and knowledge creation) based on over 50,000 observations in 34 countries. Design/methodology/approach – In this regard, national-level data from the World Values Survey database was employed to quantify social capital. Entrepreneurship is, in turn, assumed to consist of three sub-indexes and 14 indicators based on the Global Entrepreneurship Index. Knowledge creation is also measured through US Patent Office applications. Also, exploratory factor analysis and structural equation modeling approach were used to build the measurement model and investigate the impact that each factor of social capital had on entrepreneurship and knowledge application, respectively. Measurement and structural models were built and their reliability and validity were tested using various fit indices. Research findings suggest the strong positive effect of institutional trust and networking on entrepreneurship. Also, interpersonal trust and networks were shown to have high influence on knowledge development at the national level. Norms appear to have naïve to medium negative effects on both functions. Findings – Research findings suggest the strong positive effect of institutional trust and networking on entrepreneurship. Also, interpersonal trust and networks were shown to have high influence on knowledge development at the national level. Norms appear to have naïve to medium negative effects on both functions. Originality/value – However, to date, the impact of different dimensions of social capital and innovation has not been properly portrayed or explained.


2017 ◽  
Vol 32 (7) ◽  
pp. 913-924 ◽  
Author(s):  
Jeen-Su Lim ◽  
William K. Darley ◽  
David Marion

Purpose The study aims to explore supply chain influence (SCI) on the linkages among market orientation, innovation capabilities and firm performance (FP), using the resource-based view as a theoretical backdrop. Design Survey data from 182 top managers who are involved in strategy formulation and innovative direction of their companies was collected and analyzed using moderated multiple regression analysis. Findings Results revealed a moderating role of the SCI in that the proactive market orientation (PMO) and FP relationship is stronger when SCI is high, and innovation commercialization capability (ICC) and FP relationship is stronger when SCI is low. Practical implications Firms pursuing high PMO strategy must collaborate with supply chain function to achieve the full effect of PMO. Additionally, as supply chain is critical to meeting customers’ needs, these firms should allow supply chain to exert greater influence to enjoy the positive effects of PMO in addition to ensuring full integration into marketing strategy implementation. Also, firms with high ICC need to limit SCI to maximize the benefit of ICC on FP, just as innovation management needs to be cognizant of other functional areas. Originality/value The study investigates the potential moderating role of SCI on the relationships among market orientation, ICC and FP. The study fills a gap in the understanding of the nature and role of supply chain in the marketing–supply chain interaction, and the impact on FP.


2014 ◽  
Vol 19 (5/6) ◽  
pp. 577-591 ◽  
Author(s):  
David M. Gligor

Purpose – The purpose of this paper is to explore the role of demand management in achieving supply chain agility (SCA) through a multi-disciplinary review of the relevant research. The systematic literature review provides the basis for formulating a conceptual framework of the relationship. Design/methodology/approach – A systematic, comprehensive review of the literature on manufacturing, marketing organizational and SCA from 1991 through 2013 was conducted. The literature on demand management is also examined to identify the various elements that contribute to SCA. Findings – Most agility frameworks take a supply-side perspective and assume that demand is known. Those that do acknowledge the role of demand fall short of offering a holistic framework that acknowledges the role of both. This paper suggests that it is simply not enough to have flexible manufacturing, distribution and procurement systems to achieve SCA. Flexibility in managing demand is also needed. Furthermore, it is the premise of this paper that demand and supply integration (DSI) inside the firm is critical to achieving SCA. Research limitations/implications – This research is a systematic, integrative review of the existing literature on the concept of agility. As such, the next phase of research needed for theory building will be the operationalization of constructs and testing of the hypothesized relationships proposed by the conceptual framework. Practical implications – The paper has several managerial implications as well. It illustrates how firms can create and sustain competitive advantages in turbulent environments. Managers can use the framework developed here to assess what structures and decision-making processes they can use to increase the firm’s SCA. Practitioners can use this model as a checklist to identify candidate areas for improving agility. The section illustrating the use of knowledge management to increase DSI should be of particular interest to managers, considering that a great deal of firms experience a disconnect between demand creation and supply fulfillment. Originality/value – Through a systematic, comprehensive review of multi-disciplinary literature, the paper explores the role of demand management in achieving SCA.


2017 ◽  
Vol 32 (1) ◽  
pp. 30-45 ◽  
Author(s):  
Tuan Luu

Purpose The interaction between opening and closing behaviors of ambidextrous leadership produces “change” force throughout the organization in proactive response to market forces. This research aims to assess the role of ambidextrous leadership in fostering entrepreneurial orientation (EO) and market responsiveness. The research also seeks an insight into how external supply chain integration moderates the positive effect of EO on market responsiveness. Design/methodology/approach Research data were collected from 327 meso-level managers and 517 subordinates from chemical manufacturing companies in the Vietnam business context. Findings Research findings shed light on the positive effect of ambidextrous leadership on EO, which in turn contributes to market responsiveness. The moderation role that external supply chain integration plays on the EO–market responsiveness linkage was also grounded on the data set. Originality/value Through the identification of the predictive roles of ambidextrous leadership and EO for market responsiveness, the current research indicates the convergence between leadership, EO and market responsiveness research streams.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qiang Lu ◽  
Jinliang Chen ◽  
Hua Song ◽  
Xiangyu Zhou

Purpose The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also investigated the mediating roles of internal and external supply chain integration between cloud computing assimilation and the SCF risks of SMEs, as well as the moderating role of environmental competitiveness. Design/methodology/approach Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses. Findings The findings show that cloud computing assimilation could reduce the SCF risks of SMEs directly. The results also indicate that both internal and external supply chain integration mediate the relationship between cloud computing assimilation and SCF risks. Furthermore, environmental competitiveness inhibits the effects of cloud computing assimilation on SCF risks. Originality/value To our best knowledge, this is the preliminary study to explore the role of cloud computing assimilation in reducing the SCF risks of SMEs. Also, this study attempted to investigate the process by which cloud computing assimilation affects the SCF risks of SMEs.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.


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