Soniya Billore, Tomio Kobayashi and Ou Wang
The purpose is to explore consumer acceptance of the doggy bag as an intervention to promote sustainable food consumption. In particular, it explores consumer attitudes towards…
Abstract
Purpose
The purpose is to explore consumer acceptance of the doggy bag as an intervention to promote sustainable food consumption. In particular, it explores consumer attitudes towards taking home the leftover food from eating out at restaurants as a way of sustainable consumption.
Design/methodology/approach
A consumer survey to explore consumer attitudes, followed by an investigation of the media communications that promote the doggy bag as a tool to reduce food wastage.
Findings
Strategic communication was employed in an inclusive approach to increase the impact of the doggy bag on consumer behaviour. Consumers show a positive inclination towards using the doggy bag to take home the leftovers of their restaurant meals and reduce food wastage. Cultural biases can cause hurdles in the acceptance of the tool.
Originality/value
To the best of the author's knowledge, this is the first study to approach the behavioural analysis of leftover food takeout interventions studied from the consumer perspective. Furthermore, it is based on a novel approach of experimental methods at ready-to-eat food outlets for communicating with consumers.
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David Littlewood and Zaheer Khan
This paper aims to contribute to better understanding of where and how network concepts, theories and perspectives, organisational networks, and networking practices, are being…
Abstract
Purpose
This paper aims to contribute to better understanding of where and how network concepts, theories and perspectives, organisational networks, and networking practices, are being studied and deployed in social enterprise research. This is done through a systematic review of social enterprise and networks literature in business and management journals. Key trends and developments in this literature, and gaps and limitations, are identified, culminating in discussion of what next for social enterprise and networks research. The papers in this special issue on “Social Enterprise and Networks” are introduced.
Design/methodology/approach
A systematic review was undertaken of social enterprise and networks literature in business and management journals. Journals sampled included all those in the Entrepreneurship and Small Business subject area of the Association of Business Schools (ABS) Academic Journal Guide 2018, the journals in the Financial Times 50 research ranking, and selected wider business and society, non-profit management and public administration journals.
Findings
Analysis of publishing patterns of social enterprise and networks research finds that such research is growing, and that varied network perspectives, concepts and theories are being deployed. Social enterprise and networks are also being studied globally, using different methodologies. Nevertheless, there remains scope for deeper theoretical engagement, and for a wider range of network theories to be used. More even geographic coverage is also needed, and further insights can be gained through use of alternative methodologies.
Research limitations/implications
Discussions in this paper have implications for research through outlining systematically the state of current scholarship on social enterprise and networks. In so doing, insight is provided on what is known about social enterprise and networks. But also on what is not known and where further enquiry is needed. Direction is thus provided for future social enterprise and networks scholarship.
Practical implications
In this paper, how, and the extent to which, social enterprise and networks scholarship offers implications for practice and policy is considered.
Originality/value
This paper makes a valuable contribution to social enterprise scholarship. It outlines the state of current knowledge and research on social enterprise and networks, identifying where and how relationships between social enterprise and networks have been studied, whilst also providing insights for what next in future social enterprise and networks research.
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Matteo Cristofaro, Christopher P. Neck, Pier Luigi Giardino and Christopher B. Neck
This study aims to investigate the relationship between shared leadership (SL) and decision quality, utilizing shared leadership theory (SLT) and behavioral decision theory (BDT)…
Abstract
Purpose
This study aims to investigate the relationship between shared leadership (SL) and decision quality, utilizing shared leadership theory (SLT) and behavioral decision theory (BDT). The authors will explore the mediating role of “decision comprehensiveness” in the SL–decision quality linkage. Additionally, the authors will examine how individual “self-leadership” and “debate” among team members moderate the relationship between SL and decision comprehensiveness.
Design/methodology/approach
The authors tested the hypothesized moderated mediation model using a sample of 506 professionals employed in 112 research and development (R&D) teams, along with their direct managers from large Italian firms. To examine the relationships, the authors employed confirmatory factor analyses and path analyses. In order to address endogeneity concerns, the authors incorporated an instrumental variable, namely delegation, into the analysis.
Findings
SL positively influences decision quality, mediated by decision comprehensiveness, where teams include comprehensive information in decision-making. The level of debate among team members positively moderates the SL–decision comprehensiveness relationship. High levels of self-leadership can harm SL by reducing decision comprehensiveness, indicating a downside. However, low or moderate levels of self-leadership do not harm decision comprehensiveness and can even benefit SL.
Originality/value
This is the first work to investigate the relationship between SL and decision quality, shedding light on the mechanisms underlying this association. By integrating SLT and BDT, the authors provide insights into how managers can make higher-quality decisions within self-leading teams. Moreover, this research makes a distinct contribution to the field of self-leadership by delineating its boundaries and identifying a potentially negative aspect within the self-influence process.
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This paper aims to analyze the benefits of the blockchain to the circular economy (CE), which is composed of both closed-loop supply chain (CLSC) systems and reverse omnichannel…
Abstract
Purpose
This paper aims to analyze the benefits of the blockchain to the circular economy (CE), which is composed of both closed-loop supply chain (CLSC) systems and reverse omnichannel solutions. By ensuring transparency, traceability, visibility and security, the blockchain allows firms to acquire operational capabilities through a CLSC and service capabilities through a reverse omnichannel, which can boost business performance considerably. The related network of relationships can be reinforced by establishing incentives, which entail both smart contracts in the blockchain and active return approaches in CE.
Design/methodology/approach
After identifying the boundaries of the theoretical framework, several research hypotheses are developed according to the literature review and emerging gaps. These gaps link to the impact of the blockchain on CE systems (CLSC and reverse omnichannel), as well as the influence on business performance. The hypotheses are then tested using structural equation modeling and adopting a partial least squares-path modeling technique on a dataset composed of 157 firms. Finally, multigroup analysis is used to test the impact of incentives on the research hypotheses.
Findings
The blockchain facilitates a more efficient CE system, although reverse omnichannel solutions seldom bring any benefits to performance. The shift from a passive to an active return approach must be carefully evaluated. The CLSC network can benefit from an active return approach by developing appealing incentives for collectors and enhancing the positive effects of the blockchain. In contrast, consumer incentives can have detrimental effects on the blockchain. Various combinations of incentives can only bring a few business performance increases, while collector incentives are vital to reinforce the CE system's operational and service capabilities.
Originality/value
This paper takes a new approach toward the study of CE, which considers a dual circular system composed of a CLSC and a reverse omnichannel. The research explores whether the adoption of blockchain technology enables better return processes by improving the operations in CLSC and services in reverse omnichannel. Finally, this is the first empirical work to evaluate the benefits emerging from incentives, which can activate smart contracts in the blockchain and enable active return approaches in CE.
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Mustafa Bojakli and Hasan Sankari
The authors have determined whether the points fixed by all the full and the partial Atkin–Lehner involutions WQ on X0(N) for N ≤ 50 are Weierstrass points or not.
Abstract
Purpose
The authors have determined whether the points fixed by all the full and the partial Atkin–Lehner involutions WQ on X0(N) for N ≤ 50 are Weierstrass points or not.
Design/methodology/approach
The design is by using Lawittes's and Schoeneberg's theorems.
Findings
Finding all Weierstrass points on X0(N) fixed by some Atkin–Lehner involutions. Besides, the authors have listed them in a table.
Originality/value
The Weierstrass points have played an important role in algebra. For example, in algebraic number theory, they have been used by Schwartz and Hurwitz to determine the group structure of the automorphism groups of compact Riemann surfaces of genus g ≥ 2. Whereas in algebraic geometric coding theory, if one knows a Weierstrass nongap sequence of a Weierstrass point, then one is able to estimate parameters of codes in a concrete way. Finally, the set of Weierstrass points is useful in studying arithmetic and geometric properties of X0(N).
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Kian Yeik Koay, Weng Marc Lim, Kim Leng Khoo, Jesrina Ann Xavier and Wai Ching Poon
Amidst escalating sustainability challenges, product and brand managers face a pressing need to foster responsible consumption and marketing strategies. Guided by the theory of…
Abstract
Purpose
Amidst escalating sustainability challenges, product and brand managers face a pressing need to foster responsible consumption and marketing strategies. Guided by the theory of planned behavior, this paper aims to explore consumers’ motivation to purchase second-hand clothing, a type of product that contributes to Sustainable Development Goal (SDG) 12 on Responsible Consumption and Production by democratizing the brand, extending the life-cycle of the product, promoting a circular economy, while reducing economic costs for consumers and environmental costs for companies.
Design/methodology/approach
A two-stage study was conducted: 20 consumers were initially interviewed to identify the salient beliefs about second-hand clothing, and following that, a survey was conducted with 449 consumers to statistically analyze consumers’ motivation to purchase second-hand clothing. The data were analyzed using partial least squares-structural equation modeling (PLS-SEM) and necessary condition analysis (NCA).
Findings
From a “should-have” perspective (PLS-SEM), the study reveals that behavioral beliefs, injunctive normative beliefs, descriptive normative beliefs and control beliefs positively shape attitudes, injunctive norms, descriptive norms and perceived behavioral control toward second-hand clothing, whereas attitudes, injunctive norms, moral norms and perceived behavioral control positively influence consumers’ purchases of second-hand clothing. From a “must-have” perspective (NCA), the study shows that behavioral beliefs, injunctive normative beliefs and descriptive normative beliefs are necessary conditions to positively shape attitudes, injunctive norms and descriptive norms toward second-hand clothing, whereas attitudes, injunctive norms and perceived behavioral control are necessary conditions to stimulate second-hand clothing purchases.
Originality/value
The study offers a deep dive into consumers’ motivation to purchase second-hand clothing using a multimethod approach that enables not only the elicitation of salient beliefs (through interviews) but also the empirical examination of these beliefs alongside varying subjective norms in motivating consumers to purchase second-hand clothing (via survey). Given that beliefs are deeply rooted, the rigorous unfolding and validation of consumers’ beliefs about second-hand clothing, including the “should-haves” versus the “must-haves,” provide finer-grained insights that product and brand managers can strategically use to encourage consumers to purchase second-hand clothing.
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Bert de Groot, Wim Leendertse and Jos Arts
Learning across teams and organisational levels enables organisations to deal with challenges that arise from changing contexts. Project-oriented organisations increasingly use…
Abstract
Purpose
Learning across teams and organisational levels enables organisations to deal with challenges that arise from changing contexts. Project-oriented organisations increasingly use programme management to cope with such challenges and improve performance. This paper aims to find out how different programme configurations affect learning across project teams and between project teams and their parent organisation in project-oriented organisations.
Design/methodology/approach
A case study of a project-oriented organisation involved in five infrastructure programmes was performed.
Findings
The studied programmes linked learning processes at group and organisational levels by creating relationships across project teams and their parent organisation and acting as a knowledge centre. Team learning benefits from the learning culture and stable environment that programmes create for project teams. This study indicates that a programme’s features and focus strongly determines whether a programme predominantly enhances learning across project teams or learning between project teams and their parent organisation.
Originality/value
Although programme management is increasingly used by project-oriented organisations, there are few studies relating to learning in programmes. This study provides new insights into learning across teams through programmes.
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Ishita Afreen Ahmed, Shahfahad Shahfahad, Mirza Razi Imam Baig, Swapan Talukdar, Md Sarfaraz Asgher, Tariq Mahmood Usmani, Shakeel Ahmed and Atiqur Rahman
Deepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of…
Abstract
Purpose
Deepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of Guwahati, Deepor Beel is under constant threat. The study aims to calculate the lake water volume from the water surface area and the underwater terrain data using a triangulated irregular network (TIN) volume model.
Design/methodology/approach
The lake water surface boundaries for each year were combined with field-observed water level data to generate a description of the underwater terrain. Time series LANDSAT images of 2001, 2011 and 2019 were used to extract the modified normalized difference water index (MNDWI) in GIS domain.
Findings
The MNDWI was 0.462 in 2001 which reduced to 0.240 in 2019. This shows that the lake water storage capacity shrank in the last 2 decades. This leads to a major problem, i.e. the storage capacity of the lake has been declining gradually from 20.95 million m3 in 2001 to 16.73 million m3 in 2011 and further declined to 15.35 million m3 in 2019. The fast decline in lake water volume is a serious concern in the age of rapid urbanization of big cities like Guwahati.
Originality/value
None of the studies have been done previously to analyze the decline in the volume of Deepor Beel lake. Therefore, this study will provide useful insights in the water resource management and the conservation of Deepor Beel lake.
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Patrizia Garengo, Alberto Sardi and Sai Sudhakar Nudurupati
The literature highlights the key role of human resource management in developing effective organizational performance measurement and management. To understand the state of the…
Abstract
Purpose
The literature highlights the key role of human resource management in developing effective organizational performance measurement and management. To understand the state of the art of this role, the paper reviews the literature on human resource management in the performance measurement and management domain.
Design/methodology/approach
The paper conducts a bibliometric literature review on 1,252 articles to identify the prevailing research trends and the conceptual structure of human resource management in the performance measurement and management domain.
Findings
The study highlights a growing number of publications and four themes related to human resource management in performance measurement and management. It also underlines the shift from static to the dynamic performance measurement and management systems within organization which is expected to be more suited to current and future contexts.
Practical implications
The paper highlights the need to manage the identified themes as strategic organizational assets and further develop the strategic dimension of human resource management practices leveraging on project management and information systems.
Originality/value
The paper goes beyond the traditional focus on performance appraisal of human resource management studies and assumes the challenge of connecting two research fields: human resource management and performance measurement and management.
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Othmar Manfred Lehner, Kim Ittonen, Hanna Silvola, Eva Ström and Alena Wührleitner
This paper aims to identify ethical challenges of using artificial intelligence (AI)-based accounting systems for decision-making and discusses its findings based on Rest's…
Abstract
Purpose
This paper aims to identify ethical challenges of using artificial intelligence (AI)-based accounting systems for decision-making and discusses its findings based on Rest's four-component model of antecedents for ethical decision-making. This study derives implications for accounting and auditing scholars and practitioners.
Design/methodology/approach
This research is rooted in the hermeneutics tradition of interpretative accounting research, in which the reader and the texts engage in a form of dialogue. To substantiate this dialogue, the authors conduct a theoretically informed, narrative (semi-systematic) literature review spanning the years 2015–2020. This review's narrative is driven by the depicted contexts and the accounting/auditing practices found in selected articles are used as sample instead of the research or methods.
Findings
In the thematic coding of the selected papers the authors identify five major ethical challenges of AI-based decision-making in accounting: objectivity, privacy, transparency, accountability and trustworthiness. Using Rest's component model of antecedents for ethical decision-making as a stable framework for our structure, the authors critically discuss the challenges and their relevance for a future human–machine collaboration within varying agency between humans and AI.
Originality/value
This paper contributes to the literature on accounting as a subjectivising as well as mediating practice in a socio-material context. It does so by providing a solid base of arguments that AI alone, despite its enabling and mediating role in accounting, cannot make ethical accounting decisions because it lacks the necessary preconditions in terms of Rest's model of antecedents. What is more, as AI is bound to pre-set goals and subjected to human made conditions despite its autonomous learning and adaptive practices, it lacks true agency. As a consequence, accountability needs to be shared between humans and AI. The authors suggest that related governance as well as internal and external auditing processes need to be adapted in terms of skills and awareness to ensure an ethical AI-based decision-making.