Search results

This study aims to identify the key indicators for quality enhancement in an educational institute which affect student’s outcome in terms of employability and entrepreneurship. These indicators can be used for improving the quality of engineering institutions imparting technical education.

Review of conceptual and empirical literature has been done to establish a linkage between institutional factors and quality output. The paper further identifies existing quality gaps in engineering education that make their students misfit to the requirements of market.

The relevant literature reviewed suggests that quality of technical institutions can be viewed form two perspectives: first, students’ achievement in the form of placements, entrepreneurial output, enrollment in higher studies and university ranks. Second, faculty research output in the form of publication in refereed journals, consultancy projects and patents. The study concludes by stating that when these two important stakeholders are provided with the infrastructural support and environment to showcase their skill, the quality of technical institutions improves automatically.

The study is conducted on technical institutions engaged in providing engineering education. This research can be extended to other disciplines.

The framework proposed in the study will help technical institutions in evaluating their service quality levels which will further help them in improving the same.

Business models (BMs) are becoming increasingly crucial for value creation in the healthcare sector. The study explores the conceptualization and application of BM concepts within the healthcare sector and investigates their evolution in emerging economies (EEs) and developed economies (DEs). This study aims to uncover these two contexts' shared characteristics and unique variances through a comparative analysis.

The paper systematically investigates and consolidates the literature on healthcare by employing the antecedents, decisions and outcomes (ADO) framework and finally examines 71 shortlisted articles published between 2003 and 2022.

The recognition of the BM within healthcare is increasing, both in EEs and DEs. EEs prioritize value creation and capture through cost efficiency, while DEs focus on innovation. Key theories employed include a resource-based view, the network theory and the theory of innovation. Case studies are commonly used as a methodology. Further research is needed to explore the decisions and outcomes of BMs.

The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.

Beyond comparing and highlighting gaps in BMs between EEs and DEs, benchmarking DE's healthcare business models (HBMs) helps healthcare organizations in EEs align their practices, mitigate risks and establish efficient healthcare systems tailored to their specific contexts. The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.

The study analyzes HBMs using an SLR framework perspective and provides practical implications for academicians and practitioners to enhance their decision-making.

This study presents time-series data estimations on the association between the indicators of institutional environment and inward foreign direct investment (FDI) in India utilizing a comprehensive data set from 1996 to 2021.

The study employs the nonlinear autoregressive distributive lag (NARDL) model. The asymmetric ARDL framework evaluates the existence of cointegration among the factors under study and highlights the underlying nonlinear effects that may exist in the long and short run.

The significance of coefficients of negative shock to “control of corruption” and positive shock to “rule of law” is greater when compared to “government effectiveness, regulatory quality, political stability/absence of violence.” The empirical outcomes suggest the positive influence of rule of law, political stability and government effectiveness on FDI inflows. A high “regulatory quality” is observed to deter foreign investment. The “voice and accountability” index and negative shocks to the “rule of law” are exhibited to have no substantial impact on the amount of FDI that the country receives.

This study empirically examines the institutional determinants of FDI in India for a comprehensive period of 1996–2021. The study's findings imply that quality of the institutional environment has a significant bearing on India's inward FDI.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0375

The purpose of this study is to develop a methodology for the identification, categorization and prioritization of operational government-supported healthcare supply chain barriers (GHSCBs).

This study develops a theoretical background for identifying and segregating relevant GHSCBs and proposes a 5W2H (a Toyota production system) with fuzzy DEcision MAking Trial and Evaluation Laboratory (DEMATEL) embedded approach to quantify the causal–effect relationships among the identified operational GHSCBs.

Seven GHSCBs (i.e. uncertainty of demand management, lack of continuous improvement and learning, lack of deadline management, lack of social audit, warehousing equipment unavailability, human resource shortage and inadequate top level monitoring) were identified as significant cause group where the government, top management and decision-makers of government-supported healthcare supply chain (GHSC) have to put efforts.

The results obtained are specific to the GHSC of Indian perspective, which could be extended to global context. However, the proposed approach can be a base and provide a platform to understand and analyze the interactions among GHSCBs.

The proposed methodology will show the appropriate areas for allocating efforts and resources to mitigate the impact of GHSCBs for successful implementation of healthcare supply chain.

According to best of the authors' knowledge, this is the first study of operational barrier for GHSC in India in specific. The use of 5W2H embedded fuzzy DEMATEL approach for the development and analysis of the theoretical framework of Indian GHSCBs is unique in barrier literature.

This study aims to explore the mediating role of digital technologies-based supply chain integrating (SCI) strategies on the agri-supply chain performance (SCP) and firm performance (FP). This research has introduced recently emerged digital technologies such as Internet of Things (IoT). Further, based on theoretical support and an extensive literature review, this research has proposed some hypotheses, which have been quantitatively validated for their significance.

A conceptual model was formulated based on an extensive literature review. Data for this research were gathered from a survey completed by 119 respondents from different departments of agri-firms. Further, partial least square (PLS)-based structured equation modelling (SEM) was used to test the proposed hypothetical model.

The results confirm that IoT-based digital technologies and supply chain processes (organization integration [OI], information sharing and customer integration [CI]) have a significant positive correlation. Furthermore, supply chain practices are positively associated with SCP. Finally, it has been found that FP is positively impacted by SCP.

This research is used to analyse the mediating impacts of digital supply chain processes as a linking strategy for SCP and FP. For practical purposes, this research provides investment decisions for implementing digital technologies in SC strategies. The findings have proposed implications for managers and practitioners in agri-firms based on existing theories: contingency theory (CT) and relational view theory. Also, this study suggests the deployment of smarter electronically based tags and readers, which improve the data analytics capabilities based on auto-captured data. Thus, the availability of quality information improves the data-driven decisional capabilities of managers at company level.

This is a unique and original study exploring the relationship between digitalization, resilient agri-food supply chain (AFSC) management practices and firm performance. This research may be extended to other industries in view of the results from SCP and impact of digitalization.

The paper aims to enhance the understanding of robust food supply chains (FSC) by exploring the capabilities of various digital technologies and examining their interactions.

This study finding shows that digital technology enhances the resilience of the FSC by improving visibility, traceability and adaptability. This resilience provides a competitive advantage, ultimately enhancing the overall business performance.

In developing countries, inadequate infrastructure, poor Internet connectivity and diverse stakeholder systems pose challenges to implementing advanced digital solutions in the FSC.

This paper is among the first to investigate the impact of digital technology on FSC resilience, exploring visibility, flexibility and collaboration.

Today the mobile apps are helping customers in every means of their life by exploring information related to electronic items and even for food items also. Therefore, the main aim of this study is to examine the influencing role of psychological and technological attributes on customer conversion to use food ordering apps.

Convenience sampling method was used to collect responses from the customer's age between 18 and 35 years to get more representation of society. 374 customer's data has been used for structural equation model analysis with the help of SmartPLS 3.0 and SPSS-20 software.

Findings showed that customer conversions are positively influenced by perceived ease of use, perceived usefulness, perceived incentives, perceived information, customer relationship management and order management system. In contrast, the perceived price and visual design show insignificant influence.

Research outcome provides some valuable insights to provide direction to all online food aggregators to design their apps according to customers need. Thus, the authentic customer reviews and the facility of providing feedbacks are very fruitful for attracting new user while using and placing orders through theses apps.

Study suggested that observing satisfaction and dissatisfaction levels of the customer helps in enhancing the facilities of food ordering apps, so that the customer would enjoy the whole order process seamlessly, which automatically leads to customer conversions.

Major contribution of this study is the empirical analysis of psychological and technological attributes on customer's conversion towards food ordering app.

Numerous attempts at installing six sigma (SS) have faced challenges and fallen short of the desired success. Thus, it becomes vital to identify the critical factors and characteristics that play a pivotal role in achieving successful adoption. In this study the research has aimed to highlight that a considerable number of corporate SS initiatives, around 60%, fail primarily due to the improper incorporation of essential elements and flawed assumptions.

To validate the influence of critical success factors (CSFs) on SS accomplishment, the study employed a research design combining exploratory and mixed-methods approaches. A Likert-scale questionnaire was utilized, and a simple random sampling method was employed to gather data. Out of the 2,325 potential participants approached, 573 responses were received, primarily from Germany, the United Kingdom and Sweden. The analysis focused on 260 completed questionnaires and statistical methods including structural equation modeling (SEM), exploratory factor analysis (EFA) and Confirmatory Factor Analysis (CFA) were utilized for data analysis.

The study acknowledged four essential components of CSFs that are imperative for sustaining the success of SS: (1) Competence of belt System employees; (2) Project management skills; (3) Organizational economic capability and (4) Leadership commitment and engagement. These factors were identified as significant contributors to the maintenance of SS’s success.

The practical implications of this research imply that institutions, practitioners, and researchers can utilize the four identified factors to foster the sustainable deployment of SS initiatives. By incorporating these factors, organizations can enhance the effectiveness and longevity of their SS practices.

The investigation's originality lies in its contribution to assessing CSFs in SS deployment within the European automobile industry, utilizing a mixed-methods research design supplemented by descriptive statistics.

Multi-manned assembly lines are designed to produce large-sized products, such as automobiles. In this paper, a multi-manned assembly line balancing problem (MALBP) is addressed in which a group of workers simultaneously performs different tasks on a workstation. The key idea in this work is to improve the workstation efficiency and worker efficiency of an automobile plant by minimizing the number of workstations, the number of workers, and the cycle time of the MALBP.

A mixed-integer programming formulation for the problem is proposed. The proposed model is solved with benchmark test problems mentioned in research papers. The automobile case study problem is solved in three steps. In the first step, the authors find the task time of all major tasks. The problem is solved in the second step with the objective of minimizing the cycle time for the sub-tasks and major tasks, respectively. In the third step, the output results obtained from the second step are used to minimize the number of workstations using Lingo 16 solver.

The experimental results of the automobile case study show that there is a large improvement in workstation efficiency and worker efficiency of the plant in terms of reduction in the number of workstations and workers; the number of workstations reduced by 24% with a cycle time of 240 s. The reduced number of workstations led to a reduction in the number of workers (32% reduction) working on that assembly line.

For assembly line practitioners, the results of the study can be beneficial where the manufacturer is required to increased workstation efficiency and worker efficiency and reduce resource requirement and save space for assembling the products.

This paper is the first to apply a multi-manned assembly line balancing approach in real life problem by considering the case study of an automobile plant.

The purpose of this paper is to identify, rank, classify and establish the structural relationships between the preferred customer enablers (PCEs). This analysis would assist a manufacturer in selectively exercising the PCEs and effectively run-through the concept of reverse marketing in the buyer-supplier relationships.

In the current study, the interpretive structure modelling and Fuzzy Matriced’ Impacts Croisés Appliquée á un Classement methods are used to analyze and structurally relate the PCEs for Indian automotive component manufacturing industry. Furthermore, the structural relationships among the PCEs were confirmed by applying a Student’s t-test.

The classification of PCEs through driver dependence diagrams, structural digraphs of PCEs and statistical significance of the relationships between the PCEs are the main outcomes of this study. Further, certain PCEs (under supplier interest and common interest domains) were recommended in the Indian manufacturing environment to broadly control and monitor for achieving the preferred customer status (PCS).

The current study provides certain basis for a manufacturer to selectively emphasize and monitor the right PCEs and in turn effectively achieve the PCS from its key suppliers. The findings from the current analysis are more applicable in the context of Indian automotive component manufacturing industry.

The outcomes from the methodology would provide a basis for a manufacturer to develop the right strategies to become a preferred supply chain partner.

Even though the concept of PCS or reverse marketing can make remarkable impact on the business practices, it has been an ignored topic of research and its practice has been passively prophesied. In this regard, the current study could be a worthy addition toward the practice of preferred customer concept.