• Supply chain management 4.0: Literature review and research framework

      Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., Garza-Reyes, J.A.; University of Derby (Emerald, 2020-09-23)
      This article presents a review of the existing state-of-the-art literature concerning Supply Chain Management 4.0 (SCM 4.0) and identifies and evaluates the relationship between digital technologies and Supply Chain Management. A literature review of state-of-the-art publications in the subject field and a bibliometric analysis were conducted. The paper identifies the impact of novel technologies on the different supply chain processes. Furthermore, the paper develops a roadmap framework for future research and practice. The proposed work is useful for both academics and practitioners as it outlines the pillar components for every supply chain transformation. It also proposes a range of research questions that can be used as a base to guide the future research direction of the field. This paper presents a novel and original literature review-based study on SCM4.0 as no comprehensive review is available where bibliometric analysis, motivations, barriers and technologies’ impact on different SC processes have been considered.
    • Benchmarking of sustainability to assess practices and performances of the management of the end of life cycle of electronic products: a study of Brazilian manufacturing companies

      Gonçalves da Costa, L., Espíndola Ferreira, J.C., Kumar, V., Garza-Reyes, J.A.; Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil; University of the West of England; University of Derby (Springer, 2020-09-22)
      The relentless pursuit of lower production costs causes companies to invest in more efficient production systems so that they can remain economically competitive, while the actions focusing on more sustainable operations from an environmental point of view are usually performed to meet the political government regulating environmental control. However, it is common for companies to focus their efforts to minimize the environmental impacts at an early stage of the product life cycle, neglecting sustainability management in the post-use phase. Given the context, this study seeks to develop sustainability indicators that can be used by the electronics industry to assess the level of practice and performance during production that are related to product recovery after the use phase, in order to better understand how companies are acting to reduce the environmental impacts of their products at the end of their life cycle. Initially, critical success factors related to environmental management of the product’s end-of-life are obtained. Then, some of those critical success factors are prioritized, giving rise to the indicators of sustainability used in the benchmarking method. Benchmarking was performed in electronics Brazilian companies, and the data was obtained by means of a questionnaire and interviews. It is concluded from the results that the proposed indicators are suitable for measuring the levels of practices and performance of the participant companies in environmental management at the end of the product life cycle as the indicators were able to portray faithfully the reality of each company.
    • Deploying Kaizen events in the manufacturing industry: An investigation into managerial factors

      Garza-Reyes, J.A., Christopoulos, C., Kumar, A., Luthra, S., Gonzalez Aleu, F., Kumar, V., Villarreal, B.; University of Derby; University of Warwick; London Metropolitan University; Ranbir State Institute of Engineering & Technology, India; Universidad de Monterrey, Mexico (Taylor & Francis, 2020-09-24)
      Despite the extensive research on Continuous Improvement (CI), limited reflection has been reported regarding the managerial factors needed to successfully deploy Kaizen Events (KEs). This study investigates various managerial aspects that affect the implementation of KEs. After conducting a literature review and gathering experts’ inputs, the objectives of the study and six research questions were formulated. A survey questionnaire responded by 175 manufacturing organisations was designed and validated. A combined approach of descriptive statistics and one-way ANOVA tests were used to analyse the collected data. Besides other ‘soft’ aspects, the results determine: (1) the drivers and barriers in the pre-implementation stage of KEs; (2) the critical success factors and challenges related to the implementation stage of KEs; (3) the reasons that result in unsuccessful KEs; and (4) the reasons that stop organisations from running KEs. The study provides insights into an under-researched topic by looking at different phases of KEs implementation. The study contributes to the contingency and the RBV theories by offering an understanding of the importance of different contingencies and resources planning for KEs implementation. The findings are beneficial for industrialists who may aim at driving CIs in their organisations through the implementation of KEs.
    • Specialized business incubators as a strategy for small and medium-sized enterprises in the industry 4.0 era – a systemic approach

      Bosques-Brugada, G., Mendoza-del Villar, L.A., Oliva-López, E., Garza-Reyes, J.A., Tupa, J.; University of Derby (IEOM Society, 2020-08)
      The present research aims to get a holistic view of the characteristics of specialization in business incubators models. This paper centers on building a general framework by taking into account a holistic look at the features, profiles, advantages, and disadvantages of specialization in business incubators models. The strategy aims to impact mainly stakeholders by adopting business incubators strategies, especially to those tenant firms of the manufacturing sector related to emerging technologies such as Industry 4.0 technologies. Moreover, the framework is built based on the discussion of the leading representatives' heads of the specialization in the field of specialized business incubators' models. The strategy aims to reduce the current short-term death rate expectancy prevailing in the contemporary economic context by a robust business model for business incubation. Business incubators hold tenants into a hub with not only supportive facilities for the business without investing vital capital, which is not part of their core chain value but also harnessing the closer source of knowledge transfer and skilfully workforce-related on these technologies. Finally, remarks and recommendations are proposed for futures tenant companies' prospects, who wish to reduce the bankruptcy risk by boosting innovative goods and services with high technological development in a specific field of knowledge.
    • Supplier selection for smart supply chain: An adaptive fuzzy-neuro approach

      Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., Garza-Reyes, J.A.; Moulay Ismail University, 50500 Meknes, Morocco; University of Derby (IEOM Society, 2020-08)
      In recent years, companies have experienced international changes that have occurred as a result of technological advances, market globalization, or natural disasters. So, organizations are trying to improve their performance in order to be more competitive. In other words, organizations’ competitiveness highly depends on their suppliers. At present, companies need to consider and include so-called ‘resilience’, ‘sustainability’, and ‘smartness’ in the supplier’s selection to retain a competitive advantage. In this context, the purpose of this paper is to present an intelligent decision-making model for selecting the appropriate suppliers. For doing so, a set of criteria evaluation was determined to respond to the novel era circumstances. The suggested work is helpful for academics as well as professionals as it emphasizes the importance of resilient-sustainable supplier selection in the digital era.
    • Achieving resilience in the supply chain by applying IoT technology

      Al-Talib, M., Melhem, W.Y., Anosike, A.I., Garza-Reyes, J.A., Nadeem, S.P., Kumar, A.; University of Derby (Elsevier, 2020-08-18)
      In the past few decades, competition has increased between organizations as a result of globalization and fast development in IT. Companies these days are continuously looking to expand their market geographically to attract new customers. With that in mind, the main concern of companies is to achieve their customers’ requirements, which makes the supply chain (SC) longer and more complex. This leads to increased difficulty in managing the SC along with controlling risks and disruptions in SC. Such as loss of a critical supplier, a fire accident in the production facility, or an act of terrorism. To deal with these risks, SC must be designed to provide an efficient and effective response, keep its process working and be capable of recovering to their original state after disruptive events, this is considered as the core of supply chain resilience (SCRes). Furthermore, companies that design their SC with capabilities to react quickly to any disruptions in its process have the opportunity to become more stabilized and acquire an improved position in the market. Researchers have been exploring ways to acquire supply chain resilience, such as encouraging and improving collaboration between SC partners or by increasing the organization’s visibility through monitoring SC events and patterns. Studies have shown that IT has a role in improving SCRes, such as information-sharing systems to promote collaboration and visibility tactics. However, recent research trends are exploring new and emerging technologies like the Internet of Things (IoT). Despite the growing interest in IoT, minimal research has been carried out for its application in SCRes. Research in this direction is necessary to explore opportunities provided by IoT to redesign SC which in turn reinforces flexibility of supply chains and aspects of analysis of the product quality and how it could enable companies to improve their SCRes. This study is directly focused to identify and highlight this gap.
    • Managing operations for circular economy in the mining sector: An analysis of barriers intensity

      Rajesh, Singh; Kumar, Anil; Garza-Reyes, Jose Arturo; M.de Sác, Marcelo; University of Derby (Elsevier, 2020-08-17)
      The rapid development of industrialization has created significant opportunities for economic growth and development, but its operational activities have impulsively degraded the environment. Circular Economy (CE) practices may help industries, and particularly extracting industries such as mining, to optimize the use of its resources and minimize waste. This would further help to overcome the threats which the traditional linear model poses to the economic growth and development of any healthy economy. This paper aims to identify the barriers to executing the CE model within the context of the Indian mining industry. The five major categories of barriers (i.e. financial, market, government policies and regulations, organizational and operational) and their respective sub-barriers which are responsible for hindering the implementation of CE in the mining sector are identified through an extensive literature review and experts’ opinion. To determine the priority of the barriers and their intensity index, a hybrid technique comprising of the analytical hierarchy process (AHP) and graph-theoretic approach (GTA), is employed. The AHP analysis indicated that ‘government policies and regulations’ was the main barrier to the implementation of CE in the Indian mining sector (43.8%), followed by ‘market barriers’ with a weighting score of 24.6%. However, based on GTMA, the highest intensity was observed for ‘operational’, category of barriers followed by the ‘organizational’ category of barriers. The outcomes of the study would help managers from the mining industry not only to overcome the identified barriers for managing operations for CE but also to optimize and effectively meliorate the consumption and extraction of resources.
    • Analysis and prioritization of lean six sigma enablers with environmental facets using best worst method: A case of Indian MSMEs

      Singh, M; Rathi, R; Garza-Reyes, Jose Arturo; University of Derby (Elsevier, 2020-08-12)
      Micro-Small and Medium Enterprises (MSMEs) play a prominent role in economic growth because of their significant contribution in terms of manufacturing, sales, and development in any country. Improvements in product quality, waste reduction, environmental measures, green product development, and cost optimization have enforced MSMEs to adopt sustainable development approaches. Lean Six Sigma (LSS) is one of the robust methods that reduce waste, variation, emission, and energy in any system. It is indispensable to relook the enablers of environmental LSS to assess sustainability through the successful implementation of this eco-friendly approach. In this context, the present study aims to investigate and prioritize the enablers which facilitate the effective implementation of environmental LSS in MSMEs. Extensive literature and expert’s opinion are used to investigate the environmental LSS enablers and grouped them as per their appropriate traits using Exploratory Factor Analysis. The final screening of grouped enablers is done through Importance-index analysis and corrected item minus total correlation method. For prioritization of finalized enablers, a robust decision-making technique, Best Worst Method, is employed with a practical case of Indian MSMEs. The research outcomes reveal that strategic based enablers are leading in nature, followed by environmental-based enablers. Moreover, current results are validated through the Analytical Hierarchy Process and Analytical Network Process. The present study outcomes are also in good agreement with case organization officials. This study expedites the managers of case organization with prominent enablers, which will help in planning and successful execution of environmental LSS.
    • Fuzzy rule-based industry 4.0 maturity model for manufacturing and supply chain management operations

      Caiado, R.G.G.; Scavarda, L.F.; Gavião, L.O.; Ivson, P; de Mattos Nascimento, D.L.; Garza-Reyes, Jose Arturo; Pontifical Catholic University of Rio de Janeiro; Escola Superior de Guerra, Brazil; Federal University of Santa Catarina, Brazil; University of Derby (Elsevier, 2020-07-30)
      Industry 4.0 (I4.0) aims to link disruptive technologies to manufacturing systems, combining smart operations and supply chain management (OSCM). Maturity models (MMs) are valuable methodologies to assist manufacturing organizations to track the progress of their I4.0 initiatives and guide digitalization. However, there is a lack of empirical work on the development of I4.0 MMs with clear guidelines for OSCM digitalization. There is no I4.0 MM with an assessment tool that addresses the imprecision brought by human judgment and the uncertainty and ambiguity inherent to OSCM evaluation. Here we develop a fuzzy logic-based I4.0 MM for OSCM, through a transparent and rigorous procedure, built on a multi-method approach comprising a literature review, interviews, focus groups and case study, from model design to model evaluation. To provide a more realistic evaluation, fuzzy logic and Monte Carlo simulation are incorporated into an I4.0 self-assessment readiness-tool, which is connected with the model architecture. The proposed model has been validated through a real application in a multinational manufacturing organization. The results indicate that the approach provides a robust and practical diagnostic tool, based on a set of OSCM indicators to measure digital readiness of manufacturing industries. It supports the transition towards I4.0 in OSCM domain, by holistically analyzing gaps and prescribing actions that can be taken to increase their OSCM4.0 maturity level.
    • The adoption of environmentally sustainable supply chain management: Measuring the relative effectiveness of hard dimensions

      Choudhary, Sangita; Kumar, Anil; Garza-Reyes, Jose Arturo; Nadeem, Simon Peter; University of Derby; BML Munjal University, Gurgaon, India; Government Polytechnic Jhajjar, Jhajjar, India (Wiley, 2020-07-28)
      Adopting green practices in supply chains contribute towards protecting the environment. For the successful adoption of Environmentally Sustainable Supply Chain Management (ESSCM), the dimensions related to technology, strategy and policy etc., termed as hard dimensions in the scholarly literature, play a significant role. However, the independent influence of these dimensions on ESSCM has not been previously studied. Therefore, the present study aims to fill this gap and evaluate the effectiveness of these dimensions. To do this, the most significant dimensions are identified through a thorough literature review and experts’ inputs. To determine their priority and cause-effect relationship, a combined approach of Best Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) is used. The analysis indicates that ‘Total Quality Management’, and ‘Technologies for Cleaner Production’, are the most important causal dimensions and provides several insights to the decision-makers to formulate robust business strategies to the adoption of ESSCM.
    • A framework to achieve sustainability in manufacturing organisations of developing economies using Industry 4.0 technologies’ enablers

      Yadav, G; Kumar, Anil; Luthra, S; Garza-Reyes, Jose Arturo; Kumar, V; Batista, L; Veermata Jijabai Technological Institute, Mumbai, India; London Metropolitan University; Ch. Ranbir Singh State Institute of Engineering and Technology, Jhajjar, Haryana, India; University of Derby; et al. (Elsevier, 2020-07-07)
      Sustainability has emerged as one of the most important issues in the international market. Ignorance of sustainability aspects has led many manufacturing organisations to face huge financial losses. It has been observed that developed nations have successfully achieved sustainability in their manufacturing sectors. However, the rate of sustainability adoption in developing nations is significantly poorer. The current business trend offers new technologies such as the Internet of Things, Big data analytics, Blockchain, Machine learning, etc. These technologies can be termed under the Industry 4.0 paradigm when considered within a manufacturing context. It is significant to notice that such new technologies directly or indirectly contribute to sustainability. So, it is necessary to explore the enablers that facilitate sustainability adoption. This study aims to develop a framework to improve sustainability adoption across manufacturing organisations of developing nations using Industry 4.0 technologies. Initially, the enablers that strongly influence sustainability adoption are identified through a literature review. Further, a large scale survey is conducted to finalise the Industry 4.0 technologies’ enablers to be included in the framework. Based on the empirical analysis, a framework is developed and tested across an Indian manufacturing case organisation. Finally, Robust Best Worst Method (RBWM) is utilised to identify the intensity of influence of each enabler included in the framework. The findings of the study reveal that managerial and economical, and environmental enablers possess a strong contribution toward sustainability adoption. The outcomes of the present study will be beneficial for researchers, practitioners, and policymakers.
    • An integrated framework for evaluating the barriers to successful implementation of reverse logistics in the automotive industry

      Kaviani, Mohamad Amin; Madjid, Tavana; Kumar, Anil; Jerzy, Michnik; Raziyeh, Niknam; Elaine Aparecida, Regiani de Campos; University of Cyprus; La Salle University, Philadelphia, USA; University of Derby; University of Economics, Katowice, Poland; et al. (Elsevier, 2020-07-07)
      Reverse logistics (RL) strategy can have a positive impact on productivity, and the diminishing resources, along with the strict environmental regulations, have strengthened the need for this strategy. The purpose of this study is to develop an integrated framework for identifying: (1) the critical barriers to the successful implementation of RL in the automotive industry; (2) the importance and implementation priorities of these barriers; and (3) the causal relations among them. The proposed framework is composed of the Delphi method to identify the most relevant barriers, the best-worst method (BWM) to determine their importance, and the weighted influence non-linear gauge system (WINGS) to analyze their causal relationships. The proposed framework is applied to a case study in the automotive industry. The results indicate the economic barriers are the most important, and the knowledge barriers are the least important barriers to the successful implementation of RL in the automotive industry.
    • Organisational learning and industry 4.0: Findings from a systematic literature review and research agenda

      Belinski, Ricardo; Peixe, Adriana M.M.; Frederico, Guilherme F.; Garza-Reyes, Jose Arturo; Federal University of Paraná, Curitiba, Brazil; University of Derby (Emerald, 2020-07-06)
      Industry 4.0 has been one of the most topic of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0’s initiatives as well as for the deployment of new research works. Considering “Organisational Learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between Organisational Learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well. This study is based on a systematic literature review (SLR) that covers Industry 4.0 and Organisational Learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using as data basis Web of Science and Google Scholar. Also, Nvivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research. Nine dimensions were identified between Organisational Learning and Industry 4.0. These include Management, Industry 4.0, General Industry, Technology, Sustainability, Application, Interaction between Industry and the Academia, Education and Training, and Competency and Skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage Learning in Industry 4.0’s programs. They are: Learning Development, Industry 4.0 Structure and Technology Adoption. Even though there are relatively few publications that have studied the relationship between Organisational Learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches. This article identifies the thematic dimensions relative to Industry 4.0 and Organisational Learning. The understanding of this relation has a relevant contribution to professionals acting in the field of Organisational Learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organisations. This article is unique for filling a gap in the academic literature in terms of understanding the relation between Organisational Learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.
    • Practical implications and future research agenda of lean manufacturing: a systematic literature review

      Antony, J; Psomas, E; Garza-Reyes, J.A.; Hines, P; Heriot-Watt University, Edinburgh; University of Patras, Greece; University of Derby; Waterford Institute of Technology, Ireland (Taylor & Francis, 2020-06-29)
      Academic literature on Lean Manufacturing (LM) is widely available. However, due to its fragmentation, the contribution of LM from practical and academic perspectives is controversial. This paper establishes the practical implications of LM studies carried out worldwide and identifies novel research streams. A Systematic Literature Review (SLR) of peer-reviewed journal articles was conducted. A total of 401 articles published in 61 journals during 2010-2019 were collected from four major management science publishers. An “affinity diagram” was applied to organize the data into natural and logical themes. Conceptual frameworks concerning LM practical implications and future research agenda were formulated. Meaningful themes of LM practical implications and future research suggestions were revealed and classified into two categories. In category one pertaining to the internal nature of LM, themes related to the pre-implementation, implementation and post-implementation phases of LM were identified. In category two pertaining to the external nature of LM, themes related to the country in which the companies operate, the diverse managerial systems available, and the methodological research approach were identified. The main themes supported in the literature by most references were determined. Finally, respective statements concerning the practical implications of LM and the future research agenda are analytically presented.
    • How selection of collaborating partners impact on the green performance of global businesses? An empirical study of green sustainability

      Ramanathan, U., Mazolla, E., Mohan, U., Bruccoleri, M., Awasthi, A., Garza-Reyes, J.A.; University of Derby (Taylor & Francis, 2020-07-27)
      In recent days, both collaboration and sustainability have become an integral part of many global supply chains to achieve business excellence. Although previous literature and actual practices confirmed the successful implementation of sustainability practices through supply chain collaborations, it is not clear how collaborating partners can support financial and environmental performance, and hence strengthen the partnership performance in the global supply chains. To address this practice-based research question, we test the theoretical underpinning of suppliers and logistics partners in relation to required skills selection. We capture the depth of interdependencies in collaborations for routine operations and sustainability, through empirical evidence. We used case study observations from three global companies to develop a conceptual model and also conducted a questionnaire survey to test the conceptual model. The results of case analysis confirmed two dimensions of collaborations that could strengthen relationship; namely, partners’ selection and sustainability team formation. Data analysis strongly support business collaborations having careful choice of supply chain partners and logistics operators who are ready to maintain green operations with transparent information sharing. Results of this study also inform managers about the importance of commitment from collaborating partners to achieve sustainability in their global supply chains. It is clear from the results that both the business and financial performances will be strengthened by environmental positioning (green objectives) of the companies.
    • An MCDA cause-effect factors model for the implementation of Greenstone digital library soft-ware

      Rathee, S; Kumar, A; Kaushik, S; Kazimieras Zavadskas, E; Banaitis, A; Garza-Reyes, J.A.; Ganga Institute of Management and Technology, Haryana, India; University of Derby; PDM University, Bahadurgarh, India; Vilnius Gediminas Technical University, Vilnius, Lithuania (Emerald, 2020-06-16)
      The selection of an effective library software plays an important role not only for students, academic staff, and the library staff but it also helps an institution by having the library management system more centralized. Therefore, the aim of this study is to develop a Multiple- Criteria Decision Analysis (MCDA) cause and effect factor model for the implementation of the Greenstone digital library (GSDL) software. A thorough review of the literature is conducted to develop an initial list of the appropriate evaluation factors that play a significant role in the implementation of GSDL software. The data was collected from a domain of experts in the library sciences field. A combined approach of Delphi-DEMATEL methods is employed for the definition of these factors and to construct an MCDA cause-effect model which represent their relationships. The DEMATEL analysis resulted in the division of all factors into two groups, i.e., causes and effects. The results show that content management, having a user-friendly interface and usability, information search and retrieval, authentication and authorization fall into the cause group. These factors directly affect the remaining factors. Content acquisition, classification, access, control and privacy management, plus metadata submission and support fall into the effect group. The research findings can help library professionals to make effective decisions to facilitate the successful implementation of GSDL software in a library and the enhancement of library technology. The results of this study can be useful for library professionals and decision-makers to select the most appropriate software for the implementation of library technology. The study analysis shows that for GSDL, having a user-friendly interface and usability, information search and retrieval plus authentication, and authorization factors have seven positive relationships with other factors. Secondly, content management and classification have six relationships with other factors. Thirdly, access control plus privacy and management have two relationships. Content acquisition has only one relationship with other factors. It is recommended that the user-friendly interface and usability, information search and retrieval, as well as authentication and authorization should be the initial areas of focus if GSDL is to be implemented successfully in digital libraries. The proposed MCDA cause-effect model can be useful for library professionals or decision-makers in the context of selecting software to be implemented in a library and to minimize implementation costs.
    • A decision-support framework for lean, agile and green practices in product life cycle stages

      Udokporo, Chinonso; Anosike, Anthony; Lim, Ming; University of Derby; Coventry University (Taylor & Francis, 2020-05-19)
      Improving operations performance is often achieved through the application of practices such as Lean, Agility and Green (LAG) practices. However, the wide choice of LAG practices available to address customer requirements can be challenging for those with limited knowledge of LAG practices and their efficacy. Therefore, this research provides a framework for selecting appropriate LAG practices that considers product life cycle (PLC) stages for more effective application of practices. The framework was developed following thorough literature review to capture LAG practices. These form the basis for decision making tools incorporated within the framework including an analytic hierarchy process (AHP), statistical inference and regression analysis, ensuring a systematic approach to the analysis and decision support. The framework was verified and validated through a Delphi study and case study respectively. This research makes a contribution to the body of knowledge by providing a framework which could serve as a guide for businesses in the fast moving consumer goods (FMCG) industry to systematically integrate and adopt LAG to better manage their processes and meet customer requirements.
    • The role of organizational motivation and coordination in continuous improvement implementations: an empirical research of improvement project success

      Lameijer, B; Antony, J; Chakraborty, A; Does, R.J.M.M.; Garza-Reyes, J.A.; University of Amsterdam; Heriot Watt University, Edinburgh; Indian Institute of Management; University of Derby (Taylor & Francis, 2020-04-30)
      The paper aims to elicit the understanding of process improvement (PI) project success by researching the effects of organizational- motivation and coordination in continuous improvement (CI) implementations in the financial services sector. The data analyzed using structural equation modeling (SEM) comes from a sample of 198 survey respondents in financial service organizations that have implemented CI. This research shows that a strong organizational motivation is driving the embeddedness of PI methodology in, and alignment with the CI implementation of, the organization and thus affecting PI project success. In addition, central coordination is found to affect the alignment of the organization to the CI implementation activities and objectives and affects PI project success. These findings show how the organizational level constructs of organizational- motivation and coordination affect PI project success following the mediating constructs of alignment, embeddedness, and routinization specifically in the context of financial services. Thus, the work provides a better understanding of how organizational level drivers affect the organizational context of PI projects and consequently affect PI project success. There is little empirical research on determinants of PI project success. Our work explains how factors in the organizational context in which PI projects take place are affecting project outcome.
    • A new perspective of e-trust in the era of social media: Insights from customer satisfaction data

      Ramanathan, U; Williams, N.L.; Zhang, M; Sa-nguanjin, P; Garza-Reyes, J.A.; Borges, L.A.; Nottingham Trent University; University of Portsmouth; Global University Systems, 30 Holborn, London; University of Derby; et al. (IEEE, 2020-05-20)
      In this era of social media, products and services are sold globally using a few simple clicks online. In such online purchases, trust and familiarity are considered two important driving forces of consumer decision making. While online sales advocate high levels of flexibility and choices for consumers, they also hold the online service provider responsible for ensuring the security of the online user’s data. Using a Structural Equation Model (SEM) with data collected from the online service industry, we test the direct effects of ‘social media-induced purchase intention’ on customer satisfaction. We also test the mediating role of e-commerce/online sales (e-advertisement, e-safety and e-information) on customer satisfaction. In addition to social media advertising and information sharing, we find that a new factor – ‘e-safety’ – mediates the relationship between customer purchase intention and customer satisfaction. Our analysis indicates that online e-trust can be established between the customer and the service company when online purchases are made. At the same time, the quality of online information and e-safety of online payments make the service company trustworthy for future purchases. We relate data analysis directly to managerial decision making to avoid any delay in online customer services in the era of social media.
    • Performance measurement for supply chains in the Industry 4.0 era: A balanced scorecard approach

      Frederico, G.F.; Garza-Reyes, J.A.; Kumar, A; Kumar, V; University of Paraná, Curitiba, Brazil; University of Derby; University of the West of England (Emerald, 2020-05-06)
      The purpose of this paper is to present a theoretical approach based on the Balanced Scorecard (BSC) with regards to Performance Measurement (PM) in supply chains for the Industry 4.0 era. This paper combines the literature on PM and specifically the BSC related to the dimensions of supply chain in the context of Industry 4.0. Dimensions extracted from the literature based on supply chains within the context of Industry 4.0 showed a strong alignment with the four perspectives of the BSC, which make it suitable to be considered as a Performance Measurement System (PMS) for supply chains in this new context. From theoretical perspective, this study contributes to the limited literature on PM for supply chains in industry 4.0 era. The study proposes a supply chain 4.0 scorecard and strongly support researchers to conduct future empirical researches in order to get a deeper understanding about PM in supply chains in the Industry 4.0 era. As limitations, the theoretical framework proposed needs further empirical research in other to validate it and obtain new insights over the investigation conducted and presented into this paper. Practitioners can use this study as a guide to develop more effective Performance Measurement Systems (PMSs) in their organizations. This research is unique as it addresses a significant knowledge gap related to PM in Supply Chains in the Industry 4.0 era. It brings a significant contribution in terms of understanding how to measure performance in supply chains in this new era.