This study aims to review the literature on sharing economy logistics and crowd logistics to answer the three following questions: How is the literature on sharing economy…
Abstract
Purpose
This study aims to review the literature on sharing economy logistics and crowd logistics to answer the three following questions: How is the literature on sharing economy logistics structured? What are the main trends in sharing economy logistics and crowd logistics? What are the future research options?
Design/methodology/approach
Bibliometric analysis is used to evaluate 85 articles published over the past 12 years; it identifies the top academic journals, authors and research topics contributing to the field.
Findings
The sharing economy logistics and crowd logistics literature is structured around several disciplines and highlights that some are more scientifically advanced than others in their subject definitions, designs, modelling and innovative solutions. The main trends are organized around three clusters: Cluster 1 refers to the optimal allocation of costs, prices, distribution and supplier relationships; Cluster 2 corresponds to business related crowdsourcing and international industry practices; and Cluster 3 includes the impact of transport on last-mile delivery, crowd shipping and the environment.
Research limitations/implications
The study is based on data from peer-reviewed scientific journals and conferences. A broader overview could include other data sources such as books, book chapters, working papers, etc.
Originality/value
Future research directions are discussed in the context of the evolution from crowd logistics to crowd intelligence, and the complexities of crowd logistics such as understanding how the social crowd can be integrated into the logistics process. Our results are part of the crowd science and engineering concept and provide some answers about crowd cyber-system questions regarding crowd intelligence in logistic sector.
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Carlo Giua, Valentina Cristiana Materia and Luca Camanzi
This paper reviews the academic contributions that have emerged to date on the broad definition of farm-level management information systems (MISs). The purpose is twofold: (1) to…
Abstract
Purpose
This paper reviews the academic contributions that have emerged to date on the broad definition of farm-level management information systems (MISs). The purpose is twofold: (1) to identify the theories used in the literature to study the adoption of digital technologies and (2) to identify the drivers of and barriers to the adoption of such technologies.
Design/methodology/approach
The literature review was based on a comprehensive review of contributions published in the 1998–2019 period. The search was both automated and manual, browsing through references of works previously found via high-quality digital libraries.
Findings
Diffusion of innovations (DOIs) is the most frequently used theoretical framework in the literature reviewed, though it is often combined with other innovation adoption theories. In addition, farms’ and farmers’ traits, together with technological features, play a key role in explaining the adoption of these technologies.
Research limitations/implications
So far, research has positioned the determinants of digital technology adoption mainly within the boundaries of the farm.
Practical implications
On the practical level, the extensive determinants’ review has potential to serve the aim of policymakers and technology industries, to clearly and thoroughly understand adoption dynamics and elaborate specific strategies to deal with them.
Originality/value
This study’s contribution to the existing body of knowledge on the farm-level adoption of digital technologies is twofold: (1) it combines smart farming and existing technologies within the same category of farm-level MIS and (2) it extends the analysis to studies which not only focus directly on adoption but also on software architecture design and development.
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Michael Olalekan Adeoti, Faridahwati Mohd Shamsudin and AlHamwan Mousa Mohammad
The purpose of the present study was twofold: (1) to examine the direct effect of the dimensions of opportunity (i.e. ethical climate and institutional policy) and dimensions of…
Abstract
Purpose
The purpose of the present study was twofold: (1) to examine the direct effect of the dimensions of opportunity (i.e. ethical climate and institutional policy) and dimensions of job pressure (i.e. workload and work pressure) on workplace deviance (i.e. organisational and interpersonal deviance) and (2) to assess the mediation of neutralisation in the relationship between the dimensions of opportunity, job pressure and workplace deviance.
Design/methodology/approach
The present study drew from the fraud triangle theory (FTT; Cressey, 1950) and the theory of neutralisation (Sykes and Matza, 1957) to achieve the research objectives. Survey data from 356 full-time faculty members in Nigerian public universities were collected. Partial least square-structural equation modelling (PLS-SEM) was employed to analyse the data.
Findings
The results indicated that opportunity and job pressure significantly affected workplace deviance. As expected, neutralisation was found to mediate the negative relationship between ethical climate and interpersonal deviance and the positive relationship between workload, work pressure and interpersonal deviance. Contrary to expectation, neutralisation did not mediate the relationship between opportunity, pressure and organisational deviance.
Research limitations/implications
The sample was drawn from academics in public universities and the cross-sectional nature of this study means that the findings have limited generalisations.
Practical implications
This study offers insights into the management of Nigerian public universities on the need to curb workplace deviance amongst faculty members. This study recommends that the management improve the work environment by enhancing the ethical climate and institutional policies and reviewing the existing workload that may constitute pressure to the faculty members.
Originality/value
The present study provides empirical support for the fraud triangle theory and theory of neutralisation to explain workplace deviance.