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The purpose of this paper is to report the findings of a study undertaken to understand customer satisfaction and customer retention in business-to-consumer markets. The study investigates the effect of personnel capability and customer satisfaction on customer retention in the banking sector. The influence of the control variable (gender) on customer retention and mediating role of customer satisfaction has also been examined.

The study has used structural equation modeling (SEM) for data analysis across a sample of 409 bank customers of a private bank operating in Jammu and Kashmir state of India. Questionnaires were distributed and respondents were selected through a cluster sampling technique.

The empirical analysis through SEM has confirmed that personnel capability and customer satisfaction have a significant positive impact on customer retention. Customer satisfaction partially mediates the effect of personnel capability on customer retention. Moderation analysis was performed and established that gender moderates the effect of personnel capability on customer satisfaction. It was also found that gender has no effect on other relations. Furthermore, the study shows that personnel capability has a stronger impact on customer retention as compared to customer satisfaction. However, the relationship between personnel capability and customer satisfaction is significant.

The study has been conducted on the customers of a private bank in India. Therefore, generalizations may be limited. As personnel capability is the predictor of satisfaction and retention, individuals with proper social and technical skills – in addition to other skills – should be hired for managing relationships with customers.

The study has added to the understanding of the relationship which exists among the following variables: gender, personnel capability, customer satisfaction and customer retention. These variables have not been studied together previously.

Considering the human factor, the quality of the personnel is vital to ensure especially the value creation in the ports. Therefore, employee quality stands out for withstanding the pressures that stem from global trade on its operational speed felt by ports in recent years. Accordingly, the selection of the qualified personnel at the ports is very critical and a tool based on dynamic capabilities is needed to manage this process well. The aim of this study is to develop a model based on dynamic capabilities for recruitment process of ports.

Port personnel should have dynamic capabilities detected from the literature. These capabilities were approached as criteria. In this study, Buckley's proposed fuzzy analytical hierarchy process (AHP) method was employed for weighting the whole criteria. After that, weights of the criteria were used to prioritize alternatives with the fuzzy TOPSIS method.

This model reflects port managers' priorities and port customers' evaluations. Thus, the model can also reflect the level of integration of ports' related department managers into the recruitment process. The analyses allow the evaluation of the attitudes of the human resources department in the related port while fulfilling the personnel recruitment function. As a result of analyses, differences between perceptions of port managers and customers served as a feedback to the human resource management department of the ports.

One of the originalities of this study was derived from its customer-oriented perspective. This is a unique study that gathers common personnel capabilities related to the operation, planning and customer relationship departments and evaluates the success of these capabilities from the customer perspective.

This paper aims to present an alternative practical framework to classify the skill and knowledge of the individual trainees by comparing it with the expert in an organization. This framework gives the benefit to the organization in order to know the ability level of the personnel and to be able to provide the personnel development method both in academic learning and workplace learning.

This research develops the framework based on relevant methodologies. Competency-Based Development is applied to investigate the knowledge and skill of the specific task. Knowledge Engineering is used to capture the experiences and construct knowledge model from relevance parties. Capability Maturity Model is then adapted to develop the capability and maturity level of the personnel. It can then be used to cluster the knowledge and skill. Finally, the Substation Maintenance Department of Provincial Electricity Authority (PEA), Thailand, is selected as a case study to test the proposed framework.

The results have shown that the proposed framework can be utilized to identify the capability level of the individual personnel. Furthermore, the appropriate maturity development of the employees in each level can also be identified. This proposed framework provides better results when comparing to the current PEA competency model, as the criteria in this framework are systematically derived from experts rather than relying solely on the proficiency level. Although, this framework was tested with the switchgear maintenance task, the results and its systematic approach have indicated that it can also be used to develop the capability maturity model for other fields of work.

The main originality of this research is the proposed competency analysis table, which integrates human resource development with knowledge management, risks management and management information system. Rather than performing these tasks separately for continuous quality improvement, organization can practically plan and perform the quality improvement-related tasks spontaneously. Moreover, the application of the capability maturity model to classify knowledge and skill of the maintenance tasks into maturity level is another academic value presented in this paper. The proposed framework gives the benefit to organization to classify the capability of the personnel. This is potentially beneficial to the human resource development personnel than traditional methods in the sense that it provides the information on how to develop the specific skill of the employees.

This paper aims to investigate the influence of big data analytics (BDA) personnel expertise capabilities in the development of supply chain (SC) agility. Based on extant literature, the study explores the role of BDA technical knowledge, BDA technology management knowledge, BDA business knowledge and BDA relational knowledge in SC agility development. Furthermore, the author also explores the inter-relationships among these four BDA personnel expertise capabilities.

An expert team consisting of IT practitioners (with a minimum experience of five years) were chosen to comment and modify the established scale items of the constructs used in the study. Subsequently, the measures were further pre-tested with 61 students specializing in computer science and information technology. The final survey was mailed to 651 IT professionals with a minimum experience of five years or more in an allied field. Repeated follow-ups and reminders resulted in 176 completed responses. The responses were analysed using partial least squares in SmartPLS 2.0.M3.

Findings suggested that BDA technology management knowledge, BDA business knowledge and BDA relational knowledge are prominent enablers of SC agility. Furthermore, BDA technology management knowledge is an essential precursor of BDA technical knowledge and BDA business knowledge.

The study is the foremost in addressing the importance of BDA personnel expertise capabilities in the development of SC agility. Furthermore, it is also the foremost in exploring the inter-relationships among the BDA personnel expertise capabilities.

This paper examines the impact of team factors in software development, such as the domain and language experience of the team members and the personnel capability of the team, on the costs and quality of the software products. The measure of the quality of the software products is based on the number of unique field problems that customers reported. The analysis, based on data collected on 37 software projects from a leading firm in the packaged software industry, indicates that software teams with higher levels of personnel capability exhibit significantly higher productivity and quality in the software products they deliver. A case study of one of the most successful package software development efforts at this firm highlights the important aspects of team dynamics in a highly successful software project.

This paper aims to construct for the first time a link between the project members' assignment and personality balance.

This study develops a project assignment quantitative model that maximizes the team's personality balance while meeting the capability requirements.

The findings indicate that a more balanced project team that contributes to project performance can be obtained before project starts.

This paper is limited to the exploration of Belbin's personality types. However, it offers a generic approach that can be applied to other personality categorization.

The paper helps practitioners form a personality balanced project team to improve the project performance by reducing the complexity of project communication and problem solving.

The paper develops for the first time a project assignment model that considers both capability and personality and allocates project personnel in such a way that the most suitable personnel is selected from a group of qualified capable candidates, to increase the possibility of success for the project.

The purpose of this paper is to develop a theoretical model that explains the impact of big data analytics capabilities (BDAC) on company's supply chain innovation capabilities and sustainable supply chain performance. BDAC is represented through two dimensions of big data technological capabilities (BDTC) and big data personal capabilities (BDPC). Moreover, the relationships between BDTC and BDPC with sustainable supply chain performance through the mediation effect of supply chain innovation capabilities are examined.

The study used a quantitative research approach. A survey of 400 Jordanian manufacturing companies was carried out to conduct this research. However, the responses of 207 managers were valid to be used in the analysis. In this study, the SmartPLS software was used to perform structural equation modeling using a partial least squares approach (PLS-SEM) and to examine the measurement and structural model's validity and reliability.

According to the results of this study, BDPC has a significant positive impact on supply chain innovation capabilities. Furthermore, the findings indicate that supply chain innovation capabilities are the most influential predictor of sustainable supply chain performance and act as a positive significant mediator in the relationship between BDPC and firm sustainable performance. Surprisingly, the study found that BDTC had no significant effect on supply chain innovation capabilities. Besides that, no significant relationship exists between BDTC and firm sustainable performance via the mediation effect of supply chain innovation capabilities.

This study provides an integrated research model that incorporates BDAC, supply chain innovation capabilities, and sustainable supply chain performance in order to analyze supply chain innovation and sustainable supply chain performance. This suggests that the scope of the study is broader in terms of predicting sustainable supply chain performance. As a result, the study intends to fill a gap in the literature by explaining how BDAC affects supply chain innovation capabilities and firms sustainable performance. In addition, the role of supply chain innovation capabilities as a mediator between BDAC and sustainable supply chain performance is investigated.

The purpose of this paper is to develop a theoretical model to explain the impact of big data analytics capabilities (BDAC) on company’s supply chain sustainability (CSCS). The secondary objective of the study is to assess the relationship between different dimensions of supply chain sustainability and companies’ BDAC.

This research was carried out by conducting a survey among 234 pharmaceutical companies in Iran (a case study of Iran), using a standard questionnaire of BDAC and United Nations (UN) online self-assessment on supply chain sustainability. However, the respond of managers of 188 companies were usable in this research. Smart PLS3 was used to employ partial least squares method to examine the validity and reliability of the measurement and structural model.

The results of this study demonstrate that BDAC have a strong impact on both pharmaceutical supply chain sustainability, and the dimensions including vision, engage and internal. It is found that the relationships between BDAC and the other dimensions of supply chain sustainability including expect, scope and goals are not significant but positive.

Research on the relationship between BDAC and CSCS, especially in the pharmaceutical supply chain, is scanty, and this gap is highlighted in developing countries and the pharmaceutical supply chain that plays a prominent role in public health. This paper discusses several important barriers to forming a sustainable supply chain and strong BDA capabilities.

This paper could be a guide to managers and consultants who are involved in big data analytics and sustainable development. Since UN urges companies do the online self-assessment, the results of this paper would be attractive and useful for UN global compact specialists.

No study has directly measured the relation between BDAC and CSCS and different dimensions of CSCS, using a comprehensive survey throughout all pharmaceutical companies in Iran. Moreover, this research assesses the different dimensions of BDA capabilities and supply chain sustainability. This paper represents the facts about situation of sustainability of pharmaceutical supply chain and BDAC in these companies, and discloses several related issues that are serious barriers to forming a sustainable supply chain and strong BDAC. In addition, this paper provided academic support for UN questionnaire about CSCS and used it in the survey.

Within an IT outsourcing relationship, transition represents a critical and complex phase that starts immediately after contract signing. Transition involves handing over outsourced activities from client firm to service provider firm and accompanies a new way of operating. The purpose of this paper is to determine and detail factors influencing the performance of transition phase within global IT outsourcing relationships.

In this paper, the authors present a framework for transition performance that includes four factors: transition planning, knowledge transfer, transition governance and retained organization. This framework is tested and enriched by utilizing a single, in‐depth case study involving over 25 interviews with a global offshore IT outsourcing engagement.

It was found that knowledge transfer and transition governance are more critical factors than transition planning and retained organization for transition performance. This was due mainly to two reasons: the critical challenges faced, within the scope of these factors, had higher potential to disrupt transition; and both these factors and their related issues required a significant joint and coordinated effort from client and service provider firms, thereby, making implementation challenging for transition.

Practitioners have suggested that over two‐thirds of failed outsourcing relationships are due to transition‐related challenges. This paper represents one of the first in‐depth studies that provides insights from a real‐life global outsourcing engagement, which contributes to and complements existing literature on IT outsourcing by providing a greater understanding of transition. Furthermore, it provides practitioners with insights and best practices that can be used to guide transitions in real‐life engagements.

The purpose of this paper is to develop and test a research model that looks at the direct impact of information technology (IT) capabilities on firm performance and the mediating effects of the information security management system (ISMS) on this relationship.

The study uses a hypothetico-deductive approach based on quantitative data collected from 136 surveyed professionals in the field of IS, IT and the related security environment.

The results confirm the direct impact of IT capabilities on firm performance and the mediating effects of ISMS on this relationship.

The study draws on the resource-based view theory to develop a model that assesses the direct impact of IT capabilities on firm performance and the mediating effects of ISMS on this relationship in Cameroon, a developing country in Africa.