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1 – 10 of 10Although numerous studies have explored gamification, its effects on student intrinsic motivation and behavioral engagement remain ambiguous. This study aims to address this gap…
Abstract
Purpose
Although numerous studies have explored gamification, its effects on student intrinsic motivation and behavioral engagement remain ambiguous. This study aims to address this gap by investigating the impacts of exogenous and endogenous fantasies on students’ intrinsic motivation, behaviors and perception of learning in gamified, fully online courses.
Design/methodology/approach
Using a quasi-experimental design and mixed methods, this study involved two groups of postgraduate students: exogenous fantasy group (N = 23) and endogenous fantasy group (N = 23). Intrinsic motivation was assessed through surveys, while behavioral engagement was tracked over 10 weeks using online trace data. Semi-structured interviews gathered student insights on learning perceptions. The patterns of behavioral engagement in both fantasy groups were analyzed using epistemic network analysis.
Findings
Observed behavioral data indicated a significantly higher level of intrinsic motivation in the endogenous fantasy setting. The endogenous group was more engaged in pre-task analysis and post-task reflection, while the exogenous group focused more on quiz work and post-task reflection. Participants in the endogenous fantasy setting also reported increased cognitive engagement and a strong identification with their fictional characters.
Practical implications
Integrating endogenous fantasy into the curriculum can boost students’ intrinsic motivation, behavioral engagement and self-identification. Adopting a first-person perspective that allows students to embody the role of a virtual character is highly recommended. The use of interactive multimedia can greatly enrich the fantasy environment, resulting in a more immersive and engaging learning experience.
Originality/value
The study provides valuable insights into the impact of endogenous and exogenous fantasies on intrinsic motivation and behavioral engagement. It also stands out for its use of epistemic network analysis to assess and compare complex networks of learning task participation in two fantasy settings. Through analyzing these engagement patterns, researchers can obtain a more profound understanding of how each fantasy environment influences student engagement.
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Nico Cloete, Nancy Côté, Logan Crace, Rick Delbridge, Jean-Louis Denis, Gili S. Drori, Ulla Eriksson-Zetterquist, Joel Gehman, Lisa-Maria Gerhardt, Jan Goldenstein, Audrey Harroche, Jakov Jandrić, Anna Kosmützky, Georg Krücken, Seungah S. Lee, Michael Lounsbury, Ravit Mizrahi-Shtelman, Christine Musselin, Hampus Östh Gustafsson, Pedro Pineda, Paolo Quattrone, Francisco O. Ramirez, Kerstin Sahlin, Francois van Schalkwyk and Peter Walgenbach
Collegiality is the modus operandi of universities. Collegiality is central to academic freedom and scientific quality. In this way, collegiality also contributes to the good…
Abstract
Collegiality is the modus operandi of universities. Collegiality is central to academic freedom and scientific quality. In this way, collegiality also contributes to the good functioning of universities’ contribution to society and democracy. In this concluding paper of the special issue on collegiality, we summarize the main findings and takeaways from our collective studies. We summarize the main challenges and contestations to collegiality and to universities, but also document lines of resistance, activation, and maintenance. We depict varieties of collegiality and conclude by emphasizing that future research needs to be based on an appreciation of this variation. We argue that it is essential to incorporate such a variation-sensitive perspective into discussions on academic freedom and scientific quality and highlight themes surfaced by the different studies that remain under-explored in extant literature: institutional trust, field-level studies of collegiality, and collegiality and communication. Finally, we offer some remarks on methodological and theoretical implications of this research and conclude by summarizing our research agenda in a list of themes.
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This study aims to gain a new perspective on auditing by measuring investors’ fraud perception and to reveal the necessity of increasing individuals’ fraud perception by…
Abstract
Purpose
This study aims to gain a new perspective on auditing by measuring investors’ fraud perception and to reveal the necessity of increasing individuals’ fraud perception by determining the effect of fraud perception on the intention to invest in crypto assets from the investor’s perspective.
Design/methodology/approach
As part of this quantitative research, a survey was conducted on individuals residing in Türkiye and aged 18 years and above through a convenience sampling method. A total of 446 participants were included in the study. The data collected was analyzed using the partial least squares-variance based structural equation modeling (PLS-SEM) method using the SmartPLS program.
Findings
Fraud perception causes individuals to be more risk-averse and reduces their intention to invest in crypto assets. At the same time, it has been observed that risk-averse individuals have lower intention to invest in crypto assets. According to the results of the mediating effect analysis, risk aversion behavior partially mediates between the fraud perception and the intention to invest in crypto assets. Among the emotions, only fear increases risk aversion behavior. Among the personality traits, extroversion and openness to experience personality traits reduce risk aversion behavior, whereas neuroticism personality traits increase the intention to invest in crypto assets.
Originality/value
In an environment where traditional auditing activities are insufficient, increasing investors’ perceptions of fraud can reduce fraud-related losses. In this context, to the best of the authors’ knowledge, the present study might be among the first to investigate the impact of individuals’ perceptions of fraud on their investment intentions in crypto assets.
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Gregor Pfajfar, Maciej Mitręga and Aviv Shoham
In this paper, the authors aim to introduce international dynamic marketing capabilities (IDMCs) theoretically derived from marketing capabilities (MCs), dynamic marketing…
Abstract
Purpose
In this paper, the authors aim to introduce international dynamic marketing capabilities (IDMCs) theoretically derived from marketing capabilities (MCs), dynamic marketing capabilities (DMCs) and international marketing capabilities (IMCs) and provide a novel conceptualization of the concept by applying a holistic view of the international enterprise.
Design/methodology/approach
This is a literature review that maps the current research on MCs, DMCs and IMCs and serves as a basis for the theoretical conceptualization of a novel IDMCs concept as well as for the identification of research gaps and the development of future research directions on this phenomenon.
Findings
Existing typologies of MCs, DMCs and IMCs are classified into four categories: strategic, operational, analytical and value creation capabilities. A new typology of IDMCs is proposed, consisting of digital MC and dynamic internationalization capability as strategic capabilities, agile IMC, IM excellence and absorptive capability in IM as operational capabilities, IM resilience capability, IM knowledge management capability, AI-enabled IDMC and Industry 4.0-enabled IDMC as analytical capabilities, and ambidextrous IM innovation capability as value creation capability. Finally, the authors identify research gaps and develop research questions that open future research avenues for the coming years.
Originality/value
This paper offers a novel view of MCs, DMCs and IMCs and argues that, in contrast to the majority of previous research, a comprehensive understanding of these is only possible if all levels are considered simultaneously: the strategic, the operational, the analytical and the value creation level. A new conceptualization and typology of IDMCs follows this logic.
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Luay Jum'a, Dominik Zimon and Peter Madzik
The purpose of this paper is to develop a theoretical model that explains the impact of big data analytics capabilities (BDAC) on company's supply chain innovation capabilities…
Abstract
Purpose
The purpose of this paper is to develop a theoretical model that explains the impact of big data analytics capabilities (BDAC) on company's supply chain innovation capabilities and sustainable supply chain performance. BDAC is represented through two dimensions of big data technological capabilities (BDTC) and big data personal capabilities (BDPC). Moreover, the relationships between BDTC and BDPC with sustainable supply chain performance through the mediation effect of supply chain innovation capabilities are examined.
Design/methodology/approach
The study used a quantitative research approach. A survey of 400 Jordanian manufacturing companies was carried out to conduct this research. However, the responses of 207 managers were valid to be used in the analysis. In this study, the SmartPLS software was used to perform structural equation modeling using a partial least squares approach (PLS-SEM) and to examine the measurement and structural model's validity and reliability.
Findings
According to the results of this study, BDPC has a significant positive impact on supply chain innovation capabilities. Furthermore, the findings indicate that supply chain innovation capabilities are the most influential predictor of sustainable supply chain performance and act as a positive significant mediator in the relationship between BDPC and firm sustainable performance. Surprisingly, the study found that BDTC had no significant effect on supply chain innovation capabilities. Besides that, no significant relationship exists between BDTC and firm sustainable performance via the mediation effect of supply chain innovation capabilities.
Originality/value
This study provides an integrated research model that incorporates BDAC, supply chain innovation capabilities, and sustainable supply chain performance in order to analyze supply chain innovation and sustainable supply chain performance. This suggests that the scope of the study is broader in terms of predicting sustainable supply chain performance. As a result, the study intends to fill a gap in the literature by explaining how BDAC affects supply chain innovation capabilities and firms sustainable performance. In addition, the role of supply chain innovation capabilities as a mediator between BDAC and sustainable supply chain performance is investigated.
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We present configurational theorising as a novel approach to developing middle-range theory in two steps: (1) we illustrate configurational theorising as a new form of supply…
Abstract
Purpose
We present configurational theorising as a novel approach to developing middle-range theory in two steps: (1) we illustrate configurational theorising as a new form of supply chain inquiry by connecting its philosophical assumptions with a methodological execution, and (2) we generate new insights underpinning a middle-range theory for supply chain resilience.
Design/methodology/approach
We synthesise information from a range of sources and invoke ‘critical realism” to suggest a five-phase configurational theorising roadmap to develop middle-range theory. We demonstrate this roadmap to explain supply chain resilience by analysing qualitative data from 22 organisations within the Australian food supply chain.
Findings
Coopetition and supply chain collaboration are necessary causal conditions, but they need to combine with either supply chain agility or multi-sourcing strategy to build supply chain resilience. Asymmetrical analyses showed that the simultaneous absence of supply chain collaboration, supply chain agility and multi-sourcing results in low supply chain resilience, but coopetition was indifferent to low supply chain resilience. Similarly, high supply chain resilience is possible with the non-presence of supply chain agility and multi-sourcing.
Research limitations/implications
The configurational middle-range theorising roadmap presented and empirically tested in this paper constitutes a substantial advancement to both theory and the methodological domain.
Originality/value
This is the first attempt at developing a middle-range theory for supply chains by explicitly drawing on configurational theorising.
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Adegboyega Oyedijo, Simonov Kusi-Sarpong, Muhammad Shujaat Mubarik, Sharfuddin Ahmed Khan and Kome Utulu
Implementing sustainable practices in multi-tier supply chains (MTSCs) is a difficult task. This study aims to investigate why such endeavours fail and how MTSC partners can…
Abstract
Purpose
Implementing sustainable practices in multi-tier supply chains (MTSCs) is a difficult task. This study aims to investigate why such endeavours fail and how MTSC partners can address them.
Design/methodology/approach
A single-case study of a global food retail company was used in this study. Semi-structured interviews with the case firm and its first- and second-tier suppliers were used to collect data, which were then qualitatively analysed using thematic analysis.
Findings
Major barriers impeding the implementation of sustainability in multi-tier food supply chains were revealed such as the cost of sustainability, knowledge gap, lack of infrastructure and supply chain complexity. Furthermore, the findings reveal five possible solutions such as multi-tier collaboration and partnership, diffusion of innovation along the chain, supply chain mapping, sustainability performance measurement and capacity building, all of which can aid in the improvement of sustainability practices.
Research limitations/implications
Future research should investigate how specific barriers and drivers affect specific aspects of sustainability, pointing practitioners to specific links between the variables that can aid in tailoring sustainability oriented investment.
Practical implications
This research supports managerial comprehension of MTSC sustainability, pointing out ways to improve sustainability performance despite the complex multi-tier system of food supply chains.
Originality/value
The research on MTSC sustainability is still growing, and this research contributes to the debate about how MTSCs can become more sustainable from the perspective of the triple bottom line, particularly food supply chains which face significant sustainability challenges.
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Jonan Phillip Donaldson, Ahreum Han, Shulong Yan, Seiyon Lee and Sean Kao
Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways…
Abstract
Purpose
Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.
Design/methodology/approach
This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.
Findings
The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.
Research limitations/implications
LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.
Practical implications
LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.
Originality/value
To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.
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Niklas Wiesweg, Philipp Schäpers, Torben Bernhold and Timo Hartmann
To take full advantage of new technologies (e.g. machine learning), a consistent and more comprehensive knowledge sharing across organisational boundaries is required. The real…
Abstract
Purpose
To take full advantage of new technologies (e.g. machine learning), a consistent and more comprehensive knowledge sharing across organisational boundaries is required. The real estate industry often faces this challenge as well. The paper aims to approach this circumstance by analysing the real estate supply chain (RESC) and aims to identify ways to achieve a more disruption-free flow of information.
Design/methodology/approach
To answer the research question, a cross-sectional study was conducted using a standardised online questionnaire and structural equation modelling. The majority of the study participants came from German-speaking countries. The structural equation model was used to examine the relationships between the factors inter-organisational relationship, knowledge sharing skills and knowledge sharing.
Findings
The authors found that inter-organisational relationship has a significant influence on knowledge sharing and thus on the occurrence of information flow disruptions. Aligning shared goals of parties plays a major role to improve inter-organisational relationship. Control and supervision does not show any significant effect. Knowledge sharing skills in turn have an influence on knowledge sharing.
Practical implications
The alignment of interests and the creation of trust should be established in the future as core elements within the framework of contract negotiations, the lived contract and the contract itself, in order to reduce disruptions in the flow of information.
Originality/value
From the perspective of knowledge sharing, this study attempts to identify necessities within the framework of contractual design options that simplify and promote the inter-organisational use of algorithms to increase transactional efficiency.
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Although trust and distrust as distinct phenomena are of increasing interest to operations and supply chain management (OSCM) scholars, they have been inconsistently…
Abstract
Purpose
Although trust and distrust as distinct phenomena are of increasing interest to operations and supply chain management (OSCM) scholars, they have been inconsistently conceptualized and there is a lack of evidence regarding the distinctiveness of their respective antecedents. This study, therefore, focuses on one of the most widely accepted dimensions of trust, benevolence, to help more fully analyse (supplier) trust and distrust (in a buyer) and explore the effects of relational norms and structural power as specific antecedents.
Design/methodology/approach
The study employed a scenario-based role-playing experimental method. The proposed hypotheses were tested using structural equation modelling.
Findings
The results that while relational norms increase supplier trust, power asymmetry can simultaneously generate supplier distrust, support the coexistence of supplier trust and distrust in a buyer–supplier relationship.
Originality/value
This study is one of the first to explore the antecedents of supplier trust and distrust in a buyer. It demonstrates that supplier trust and distrust can coexist when the relationship is characterized by relational norms and asymmetrical power. This opens important questions for future trust–distrust research.
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