Yogesh Kumar Sharma, Sachin Kumar Mangla, Pravin P. Patil and Shaofeng Liu
The food organisations are pushing to adopt circular economy initiatives to enhance economic–ecological–social sustainability of supply chains. The adoption of circular economy…
Abstract
Purpose
The food organisations are pushing to adopt circular economy initiatives to enhance economic–ecological–social sustainability of supply chains. The adoption of circular economy and sustainability aspects is complex from the point of view of developing nations compared to the developed nations. In this sense, the purpose of this paper is to develop a model of the challenges for implementing the successful circular economy-led sustainability concepts in food supply chains in emerging economies, especially in the Indian context.
Design/methodology/approach
The authors recognised 11 circular economy-led sustainability-related challenges and analysed appropriate interactions among the identified challenges. The Delphi method was used for the confirmation of identified challenges. The challenges were identified initially with the help of literature. Interpretive structural modelling method was used for modelling the challenges. In addition, MICMAC analysis was used for classifying the challenges based on their dependence and driving power. A case study of diary food processing company in India was conducted.
Findings
According to the findings, poor government policies, lack of technology and techniques and lack of farmers’ knowledge and awareness come under the driving challenges.
Practical implications
Understanding of circular economy-led sustainability-related challenges would help managers and policy makers in the sustainable management of natural resources in food value chains.
Originality/value
This is one of the initial works conducted on identifying and evaluating the challenges to circular economy-based sustainability aspects in food value chains.
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Uchitha Jayawickrama, Shaofeng Liu and Melanie Hudson Smith
Knowledge management is crucial for enterprise resource planning (ERP) systems implementation in real industrial environments, but this is a highly demanding task. The purpose of…
Abstract
Purpose
Knowledge management is crucial for enterprise resource planning (ERP) systems implementation in real industrial environments, but this is a highly demanding task. The purpose of this paper is to examine the effectiveness of knowledge identification, categorisation and prioritisation that contributes to achieving ERP implementation success.
Design/methodology/approach
This study adopts a mixed methods approach; a qualitative phase to identify and categorise knowledge types and sub-types; conducting in-depth interviews with ERP clients and implementation partners; plus a quantitative phase to prioritise knowledge types and sub-types based on their contribution to achieving ERP success for business performance improvement. An analytic hierarchy process-based questionnaire was used to collect empirical data for the quantitative phase.
Findings
This study has been able to identify, categorise and rank various types of ERP-related knowledge based on in-depth interviews and survey responses from both ERP clients and implementation partners. In total, 4 knowledge types and 21 sub-types were ranked based on their contribution to achieving ERP success; 4 variables of information quality, systems quality, individual impact and organisational impact were used to measure ERP success.
Originality/value
The empirical findings demonstrate exactly what kinds of knowledge need to be managed, enabling knowledge prioritisation when a client organisation or an implementation partner steps into an ERP implementation, in a real industrial environment.
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Fenio Annansingh, Kerry E. Howell, Shaofeng Liu and Miguel Baptista Nunes
Higher education (HE) institutions create, disseminate, share and exchange knowledge through relationships among people, processes and technologies. Knowledge sharing (KS) in…
Abstract
Purpose
Higher education (HE) institutions create, disseminate, share and exchange knowledge through relationships among people, processes and technologies. Knowledge sharing (KS) in academia enables people within the institute to develop practices which allow them to collect and share what they know. This often leads to actions that improve services and outcomes. Despite the opportunities, this sharing is not without implications as it exposes the knowledge sharer and recipient to a number of vulnerabilities and risks, which hinders the knowledge-sharing process. The paper aims to discuss these issues.
Design/methodology/approach
This paper adopted a constructivist approach, which utilised focus group discussions within three UK universities. These were identified to improve the usefulness and effectiveness of the knowledge-sharing process.
Findings
The paper concluded by purporting that by developing an understanding of the risks and opportunities of sharing HE, institutions will continue to grow, regenerate and develop knowledge. The results highlighted the plethora of risks and opportunities resulting from KS. These were further grouped into the political, social and organisational culture.
Originality/value
This paper addresses the gap of risks perceptions of KS in HE institutions.
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Guoqing Zhao, Jana Suklan, Shaofeng Liu, Carmen Lopez and Lise Hunter
In a competitive environment, eHealth small and medium-sized enterprises’ (SMEs’) barriers to survival differ from those of large enterprises. Empirical research on barriers to…
Abstract
Purpose
In a competitive environment, eHealth small and medium-sized enterprises’ (SMEs’) barriers to survival differ from those of large enterprises. Empirical research on barriers to eHealth SMEs in less prosperous areas has been largely neglected. This study fills this gap by employing an integrated approach to analyze barriers to the development of eHealth SMEs. The purpose of this paper is to address this issue.
Design/methodology/approach
The authors collected data through semi-structured interviews and conducted thematic analysis to identify 16 barriers, which were used as inputs into total interpretive structural modeling (TISM) to build interrelationships among them and identify key barriers. Cross-impact matrix multiplication applied to classification (MICMAC) was then applied validate the TISM model and classify the 16 barriers into four categories.
Findings
This study makes significant contributions to theory by identifying new barriers and their interrelationships, distinguishing key barriers and classifying the barriers into four categories. The authors identify that transcultural problems are the key barrier and deserve particular attention. eHealth SMEs originating from regions with cultural value orientations, such as hierarchy and embeddedness, that differ from the UK’s affective autonomy orientation should strengthen their transcultural awareness when seeking to expand into UK markets.
Originality/value
By employing an integrated approach to analyze barriers that impede the development of eHealth SMEs in a less prosperous area of the UK, this study raises entrepreneurs’ awareness of running businesses in places with different cultural value orientations.
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Wei Hutchinson, Elmira Djafarova, Shaofeng Liu and Mahmoud Abdelrahman
Despite entrepreneurial linguistic style gaining increased attention in entrepreneurship studies, the field for digital vlogger entrepreneurs still lacks a comprehensive…
Abstract
Purpose
Despite entrepreneurial linguistic style gaining increased attention in entrepreneurship studies, the field for digital vlogger entrepreneurs still lacks a comprehensive understanding of how linguistic patterns enhance audiences attitude and behaviour. This study aims to propose a conceptual model of “language-mental imagery-attitude-behaviour model” that leads to the examination of rich sensory language style of food travel vlogger entrepreneurs and its persuasive effect on audiences' attitude and behavioural intention.
Design/methodology/approach
The present study utilises a stimulus-based survey method that involves a sensory-rich vlog script extracted from a high social media engagement authentic vlog. Data are collected through an online questionnaire distributed to a sample of 355 participants via the Amazon Turk mechanism. The study employs confirmatory factor analysis and structural equation modelling to test the proposed hypotheses, with the aim of contributing to the advancement of theories of embodied cognition in entrepreneurial language by examining the attitudes and behaviours of audiences exposed to sensory-rich language. The findings of this research provide valuable insights into the effects of sensory-rich language on audience responses and can inform future research on the role of embodied cognition in entrepreneurial communication.
Findings
The findings demonstrate that vlogger entrepreneurial sensory-rich linguistic communication style positively influence audiences' attitude, behavioural involvement with food and intention to taste. Visit intention will be enhanced via the mediating effects of attitude, behavioural involvement with food and intention to taste.
Practical implications
This research highlights the significance of sensory-rich language for vlogger entrepreneurs in entrepreneurial communication, digital storytelling and for destination marketing enterprises in creating a digital sensory engagement marketing strategy.
Originality/value
The study contributes to the literature by elucidating the theories of embodied cognition in entrepreneurial communication. By examining the relationships between vlogger communication evoked mental imagery, audiences attitude and behaviours, this study provides novel insights into the effectiveness of sensory-rich language in vlogger entrepreneurial communication and its impact on audience engagement. These findings have important implications for communication scholars and practitioners alike, shedding light on the role of embodied cognition in entrepreneurial language and the potential of sensory-rich language to enhance audience engagement.
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Jonathan Moizer, David Carter and Shaofeng Liu
The resourcing of policing activity is characterised by a level of complexity, particularly where evaluating alternative policy options is concerned. In this paper, a case study…
Abstract
Purpose
The resourcing of policing activity is characterised by a level of complexity, particularly where evaluating alternative policy options is concerned. In this paper, a case study using multimethodological modelling to compare alterative policy choice in a group context is outlined with respect to response-patrol officer (RPO) deployment within a UK police force. The paper aims to discuss these issues.
Design/methodology/approach
The application of a three phase modelling process is illustrated where scenario planning is used to generate the scope of the system elements to be modelled. This is followed by causal mapping to identify the barriers to improving officer resourcing, and system dynamics modelling is used to simulate the impacts of a range of policy options within this policing function. A group model building approach was applied throughout the modelling phases with an expert group to negotiate a shared view of the structure and dynamics of the resourcing policy challenges.
Findings
A fully validated system dynamics model emerged from the multi-phase modelling process which allowed a series of alternative future policy scenarios to be explored and evaluated. Useful policy insights were generated by the system dynamics simulation model which suggested more efficient rules for resource allocation in the police force’s RPO function.
Originality/value
The insights from this case study demonstrates that multi-phase modelling has potential application in policy exploration across a range of emergency service providers whose actions are governed by both variable demand and constrained supply of resource.
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Rahul Meena, Akshay Kumar Mishra and Rajdeep Kumar Raut
The purpose of this paper is to supplement and update previously published articles about artificial intelligence (AI) instruments and operations in banking sectors with the…
Abstract
Purpose
The purpose of this paper is to supplement and update previously published articles about artificial intelligence (AI) instruments and operations in banking sectors with the following objectives in mind: to understand the role of AI in banking sectors; to explore the themes and context in this area based on keywords, co-citations and co-words; and to identify future research direction by evaluating the trend and direction of previous research.
Design/methodology/approach
This study adopts a semi-inductive approach with the convolution of bibliometrics and literature review. This study used bibliometrics for the identification of literature across multiple databases and systematic literature review on identified articles to explore heterogeneous sectors within AI in banking and finance.
Findings
This study contributes a literature-based model that accounts for both the broadly in AI application in banking and finance: predictive modeling in risk assessment and detection; financial decision-making; client service delivery; and emerging FinTech applications of AI and machine learning.
Originality/value
This study is among the few to address the literature of tools and application of AI in banking through mixed-methods approach and produce a synthesized model for the same.
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Shaofeng Yuan, Chunhui Huo and Tariq H. Malik
The purpose of this paper is to examine a possible negative spillover effect in sports sponsorship to answer whether the sponsored team’s poor performance will have a negative…
Abstract
Purpose
The purpose of this paper is to examine a possible negative spillover effect in sports sponsorship to answer whether the sponsored team’s poor performance will have a negative effect on audiences’ trust in its sponsor’s brand. The authors further analysed whether the audience’s attitude towards the team plays a mediating role and whether the audience’s personality type (active vs passive) plays a moderating role in this negative spillover effect.
Design/methodology/approach
Three experimental studies were conducted with 380 Chinese undergraduates and MBA student participants over two years. The authors designed the experiment as a computer-mediated intervention in which good, poor and neutral performance groups were compared. After the respondents were exposed to the intervention, we asked them to answer questions using a computer terminal. We analysed the data from the three experiments through analysis of variance (ANOVA), regression analysis and a bootstrap.
Findings
The audiences who were exposed to a team’s poor performance condition reported less trust in the sponsor’s brand relative to those exposed to a good performance condition, and the brand trust was even lower than for those who were exposed to a control condition (no performance information). Further, the audience’s negative attitude towards the sports team mediated the negative effect of the team’s poor performance on its sponsor’s brand trust. The negative effect was more obvious for individuals with Type A personalities (active) than for those with Type B personalities (passive).
Originality/value
The prior literature has neglected a possible negative effect of a sports team’s performance on its sponsor’s brand trust. In particular, questions of whether, how and when this negative effect occurs are critical for sponsors, teams, and audiences. Since sports team sponsorship is burgeoning in China, the negative implications are unclear in this new context. Thus, the revelation that the negative spillover effects of a team’s poor performance on audiences’ trust in the sponsor’s brand provides two original contributions. First, the negative effect reveals value for multiple sponsorship stakeholders. Second, the Chinese context in this study adds value for future research and practice regarding both Chinese-foreign and domestic Chinese decisions.
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This study investigated the potential negative effects of a sponsored team's losing performance on audiences' trust and purchase intention toward the sponsoring brand. Shedding…
Abstract
Purpose
This study investigated the potential negative effects of a sponsored team's losing performance on audiences' trust and purchase intention toward the sponsoring brand. Shedding light on the moderating role of sponsoring brand familiarity among audiences and audience team identification regarding such negative effects, the study establishes when sports sponsorship may incur risk to a sponsoring brand.
Design/methodology/approach
Three experimental designs (audience as stimulus of a team's losing vs control condition) were used to indicate whether and when losing performance influences participants' trust and purchase intention toward the sponsoring brand.
Findings
The participants in the losing condition report lower brand trust and purchase intention. Brand trust mediates the relationship between losing results and decreased purchase intention. The negative effects of losing on brand trust and purchase intention only appear when the sponsoring brand has low familiarity among audiences and only for audiences with low identification.
Practical implications
The strategy of a brand with low familiarity sponsoring a team that frequently loses has risks and is not worth advocating. However, if an unknown brand has already sponsored a team that often loses, the efforts to cultivate audiences' identification with the team can reduce the potential risks.
Originality/value
The affirmed negative effects of losing performance on brand trust and purchase intention have value for firm sponsorship decisions. This study contributes to the sponsorship literature by revealing two boundary conditions (sponsoring brand familiarity and audiences' team identification) for those negative effects.