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1 – 7 of 7Edem M. Azila-Gbettor, Christopher Mensah and Martin K. Abiemo
The study aims to examine the moderating influence of perceived co-worker support in the nexus between compulsory citizenship behaviour, job involvement and social loafing amongst…
Abstract
Purpose
The study aims to examine the moderating influence of perceived co-worker support in the nexus between compulsory citizenship behaviour, job involvement and social loafing amongst university interns.
Design/methodology/approach
Four hundred and sixty-two) respondents took part in the study by completing a self-reported questionnaire distributed via online WhatsApp platform. The respondents were selected using multistage sampling technique. The data were processed and analysed using IBM SPSS version 24 and PLS-SEM, respectively.
Findings
Results reveal interns’ experience of compulsory citizenship behaviour positively influences their social loafing and negatively influences their job involvement. Furthermore, the support received from co-workers’ reduces the negative influence of compulsory citizenship behaviour on interns’ (1) social loafing and (2) job involvement.
Research limitations
The study’s main limitations have been identified as the type of organisation in which the internship was completed and the number of years of internship experience. Future research may seek to address this problem by obtaining data from a cohort that is categorised based on the nature of the organisation and duration of the internship.
Practical implications
Perceived co-worker support has been found to reduce the negative effects of interns’ compulsory citizenship behaviour on their job outcomes. It is recommended that organisations establish a supportive work environment to assist interns. This can be achieved through various means, such as engaging in team-building activities and assigning mentors, among other strategies.
Originality/value
One of the first to have examined a model linking compulsory citizenship behaviour, job involvement, social loafing and perceived co-worker support amongst interns in a higher education environment.
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Shan Jin, Christopher Gan and Dao Le Trang Anh
Focusing on micro-level indicators, we investigate financial inclusion levels in rural China, examining its determinants and impact on household welfare. We construct a financial…
Abstract
Purpose
Focusing on micro-level indicators, we investigate financial inclusion levels in rural China, examining its determinants and impact on household welfare. We construct a financial inclusion index of four essential financial services: savings, digital payments, credit and insurance. We identify factors influencing financial inclusion among Chinese rural households and assess the effects of financial inclusion on household welfare.
Design/methodology/approach
With the entropy method, we use data from the 2019 China Household Finance Survey to assess financial inclusion levels in rural China. Determinants and their impact on welfare are analyzed through probit and ordinary least squares models, respectively. Propensity scoring matching is applied to address potential endogeneity.
Findings
We reveal that rural households exhibit limited usage of formal financial services, with notable regional disparities. The eastern region enjoys the highest financial inclusion and the central region lags behind. Household characteristics such as family size, education level of the household head, income, employment status and financial literacy significantly influence financial inclusion. Financial inclusion positively impacts household welfare as indicated by household consumption expenditure. The use of different types of financial services is crucial with varying but significant effects on household welfare.
Originality/value
This study offers valuable insights into China’s rural financial inclusion progress, highlighting potential barriers and guiding government actions.
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Mike Brookbanks and Glenn C. Parry
This study aims to examine the effect of Industry 4.0 technology on resilience in established cross-border supply chain(s) (SC).
Abstract
Purpose
This study aims to examine the effect of Industry 4.0 technology on resilience in established cross-border supply chain(s) (SC).
Design/methodology/approach
A literature review provides insight into the resilience capabilities of cross-border SC. The research uses a case study of operational international SC: the producers, importers, logistics companies and UK Government (UKG) departments. Semi-structured interviews determine the resilience capabilities and approaches of participants within cross-border SC and how implementing an Industry 4.0 Internet of Things (IoT) and capitals Distributed Ledger (blockchain) based technology platform changes SC resilience capabilities and approaches.
Findings
A blockchain-based platform introduces common assured data, reducing data duplication. When combined with IoT technology, the platform improves end-to-end SC visibility and information sharing. Industry 4.0 technology builds collaboration, trust, improved agility, adaptability and integration. It enables common resilience capabilities and approaches that reduce the de-coupling between government agencies and participants of cross-border SC.
Research limitations/implications
The case study presents challenges specific to UKG’s customs border operations; research needs to be repeated in different contexts to confirm findings are generalisable.
Practical implications
Operational SC and UKG customs and excise departments must align their resilience strategies to gain full advantage of Industry 4.0 technologies.
Originality/value
Case study research shows how Industry 4.0 technology reduces the de-coupling between the SC and UKG, enhancing common resilience capabilities within established cross-border operations. Improved information sharing and SC visibility provided by IoT and blockchain technologies support the development of resilience in established cross-border SC and enhance interactions with UKG at the customs border.
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Erose Sthapit, Peter Bjork, Dafnis N. Coudounaris, Jano Jiménez-Barreto and Tan Vo-Thanh
This study proposed and tested a new conceptual model of memorable volunteer tourism experiences (MVTEs) by examining the effects of novelty, meaningfulness, experience…
Abstract
Purpose
This study proposed and tested a new conceptual model of memorable volunteer tourism experiences (MVTEs) by examining the effects of novelty, meaningfulness, experience co-creation and experience intensification on MVTEs. It also examined the relationships among MVTEs, psychological resilience (PR) and behavioural intention (BI), including that between novelty and BI.
Design/methodology/approach
The study modelled the proposed relationships by analysing data from an online survey using Amazon Mechanical Turk. In total, 241 responses were used in the data analysis.
Findings
This study extended the MVTE construct and included four key antecedents that influence tourists' MVTEs. The study also documented the predictive capability of MVTEs for PR and BI.
Practical implications
Volunteer tourism organisations should offer new and diverse activities for volunteer tourists, such as nature conservation, wildlife protection and construction.
Originality/value
This is the first study to examine the antecedents and outcomes of MVTEs using the stimuli–organism–response theory.
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Allahyar Beigi Firoozi, Mohammad Bashokouh, Naser Seifollahi and Ghasem Zarei
The rising complexity of business changes has increasingly highlighted the requirements to provide a comprehensive and empirical framework for the supply chain agility (SCA). A…
Abstract
Purpose
The rising complexity of business changes has increasingly highlighted the requirements to provide a comprehensive and empirical framework for the supply chain agility (SCA). A review of extant studies shows that the results are complicated and ambiguous. Moreover, this study is a meta-analytical review of previous empirical studies to identify SCA antecedents and effects of SCA on firm performance.
Design/methodology/approach
According to the protocol, 64 studies were chosen as the sample to survey the relationships between five clusters of SC allopoietic properties (SCAPs) (SC connectivity, symbiotic relationship (SR), cognitive openness (CO), homeostasis and collaboration) and SCA, as well as its effects on firm performance.
Findings
Among antecedents, horizontal collaboration’s effect on SCA is the strongest, and the relationship between SR-SCA and CO-SCA is less than moderate. SCA affects firm performance and its dimensions, with a stronger effect on financial performance (FP). Furthermore, the SCA study in the framework of allopoietic systems is a good starting point for future research.
Practical implications
Managers are advised to constantly review repetitive interactions between the company and its environment and to learn about interactions between SC and the environment. Learning from these interactions and disseminating their explicit knowledge among company members lead to a quick response to the environmental instability.
Originality/value
As the first meta-analysis on SCA antecedents and its effects on firm performance, this study contributes to the SCA literature and provides research directions for the future.
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This paper aims to explore the antecedents and consequences of service chain flexibility (SCF) in healthcare service delivery.
Abstract
Purpose
This paper aims to explore the antecedents and consequences of service chain flexibility (SCF) in healthcare service delivery.
Design/methodology/approach
A structural model was developed based on a literature review. A 29-indicator questionnaire was circulated among service providers in the healthcare system across India, and 253 valid responses were received, corresponding to a response rate of 46%. The research model was assessed using a cross-sectional research design, and the data were analyzed by structural equation modeling using analysis of moment structures (AMOS) software.
Findings
Service orientation (SO), technology integration (TI), knowledge sharing (KS) and supply chain integration (SCI) were identified as antecedents of SCF, the consequence of which is responsiveness in service delivery (RSD). Furthermore, patient-centered care moderates the relationship between SCF and RSD.
Research limitations/implications
This paper highlights the impact of SCF on RSD in healthcare organizations. Consideration of the four constructs of SO, TI, KS and SCI as antecedents of SCF and, in turn, RSD may be one of the limitations. Future work may identify other theoretical constructs with potential impacts on SCF and RSD. Furthermore, eight months for data collection could have resulted in early-late response bias. This study was operationalized in India and may reflect political, economic, social, technological, environmental and legal factors unique to India.
Practical implications
The study provides suggestions to practitioners for building RSD by leveraging SO, TI, KS and SCI in flexibility-driven service chain processes. Recognizing the relationships among these constructs can aid in the timely formulation of corrective actions and patient-centric policies.
Social implications
This paper highlights how focusing on a SCF can promote RSD. This understanding may aid the design of processes that develop patient-centricity and deliver health as a social good in an effective manner.
Originality/value
The empirical evidence from this study can help hospitals integrate and build flexibility in their functions, thus enabling them to deliver responsiveness in care.
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Despite the escalating significance and intricate nature of supply chains, there has been limited scholarly attention devoted to exploring the cognitive processes that underlie…
Abstract
Purpose
Despite the escalating significance and intricate nature of supply chains, there has been limited scholarly attention devoted to exploring the cognitive processes that underlie supply chain management. Drawing on cognitive-behavioral theory, the authors propose a moderated-mediation model to investigate how paradoxical leadership impacts manufacturing supply chain resilience.
Design/methodology/approach
By conducting a two-wave study encompassing 164 supply chain managers from Chinese manufacturing firms, the authors employ partial least squares structural equation modeling (PLS-SEM) to empirically examine and validate the proposed hypotheses.
Findings
The findings indicate that managers' paradoxical cognition significantly affects supply chain resilience, with supply chain ambidexterity acting as a mediating mechanism. Surprisingly, the study findings suggest that big data analytics negatively moderate the effect of paradoxical cognition on supply chain ambidexterity and supply chain resilience, while positively moderating the effect of supply chain ambidexterity on supply chain resilience.
Research limitations/implications
These findings shed light on the importance of considering cognitive factors and the potential role of big data analytics in enhancing manufacturing supply chain resilience, which enriches the study of behavioral operations.
Practical implications
The results offer managerial guidance for leaders to use paradoxical cognition frames and big data analytics properly, offering theoretical insight for future research in manufacturing supply chain resilience.
Originality/value
This is the first empirical research examining the impact of paradoxical leadership on supply chain resilience by considering the role of big data analytics and supply chain ambidexterity.
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