Search results

This paper aims to propose an accurate and efficient decision-making process adapted to the specific context of Claim Management situations, implying partners engaged in a high-involvement relationship.

We used a three-step approach: first, an inductive phase based on 12 past case studies. Second, a theory-building phase. Third, a theory-testing phase based on an ongoing case study to observe and test our propositions.

Proposal 1: Partner’s Strategic Value is an influential decision parameter that must be incorporated into Claim Management-related decision-making processes in high-involvement relationships. Proposal 2: The Fast-and-Frugal Heuristic is adapted to the intense, interactive and iterative nature of the Claim Management context. Our final proposal combines these two findings, i.e. a Fast-and-Frugal Heuristic incorporating the Partner’s Strategic Value and based on using decision criteria as a sequence, not simultaneously.

In the context of high-involvement business relationships and Claim Management, this study introduces the importance of selecting an appropriate decision methodology and integrating a strategic decision parameter (Partner’s Strategic Value) into an operational decision-making context. Furthermore, the principle of considering decision parameters in a specific sequence corresponds to the iterative and interactive nature of the Claim Management processes.

Despite the proliferation of cyberthreats upon the supply chain (SC) at large, knowledge on SC cybersecurity is scarce and predominantly conceptual or descriptive. Addressing this gap, this research examines the effect of SC cyber risk management strategies on integration decisions for cybersecurity (with suppliers, customers, and internally) to enhance the SC’s cyber resilience and robustness.

A research model grounded in the supply chain risk management (SCRM) literature, with roots in the Dynamic Capabilities View and the Relational View, was developed. Survey responses of 388 SC managers at US manufacturers were obtained to test the model.

An impact of SC cyber risk management strategies on internal cyber integration was detected, which in turn impacted external cyber integration with both suppliers and customers. Further, a positive effect of internal and customer cyber integration on both cyber resilience and robustness was found, while cyber integration with suppliers impacted neither.

Industry practitioners may adapt certain risk management and integration strategies to enhance the cybersecurity posture of their SCs.

This research bridges between the established domain of SCRM and the emergent field of SC cybersecurity by forming and testing novel relationships between SCRM-rooted constructs tailored to an SC cyber risks context.

This study sought to populate a concise set of guidelines for use of the case study research methodology and evaluate the adequacy with which the methodology has been used previously within both the positivist and interpretivist domains of architectural research.

Firstly, the study set out to establish, from the literature, the nature of the case study methodology. Thereafter, a set of guidelines for adequate use of the methodology was populated. The study, then, proceeded to examine selected architectural research papers that had used the case study methodology in order to evaluate the adequacy with which they had used the methodology. The research papers were randomly drawn from two major architectural research journals publishing scholarly work within the positivist and interpretivist paradigms.

Within the interpretivist domain of architectural research, the study found that there might exist some inadequacy in the way in which the case study methodology has been used.

Despite the popularity of the case study methodology, there have only been limited scholarly attempts at developing a set of guidelines with which to evaluate the adequacy of its usage, particularly within the context of architectural research. This lack of a concise set of guidelines might lead to inappropriate usage of the methodology. This study sought to undertake a review of the usage of the methodology within architectural research with two objectives, namely, populating a concise set of guidelines for use of the methodology and evaluating the adequacy with which the methodology has been used previously.

The study aims to test the framework that proposes the role of resources (intellectual capital) in mobilizing entrepreneurial orientation that influences the competitiveness improvement of micro-small-medium enterprises (MSMEs) under the lens of resource orchestration theory.

In this study, 347 respondents from the MSMEs participated through a structured questionnaire. For the data analysis purpose, the structural equation modeling technique was employed using SmartPLS software.

The results suggest human, structural, and relational capital are significant antecedents of entrepreneurial orientation, which leads to competitiveness improvement. The findings also indicate the mediation role of entrepreneurial orientation between intellectual capital and competitiveness improvement.

The current study presumably will supplement the promising research effort to progress the research orchestration theory and also could be a strategic guideline for the managers/owners of the MSMEs.

This study is possibly a novel attempt to divulge the association between intellectual capital (tripartite model) and competitiveness improvement of firms under the lens of resource orchestration theory.

Companies are increasingly appointing a Chief Sustainability Officer (CSO) to anchor the need to highlight climate change at the senior management level. This study aims to examine how CSO power and sustainability-based compensation influence climate reporting and carbon performance.

Using one of the largest data sets to date, consisting of 18,834 company years through the author’s observations, spanning an 11-year period (2011–2021) in 33 countries. This paper used quantitative methods – specifically, ordinal logistic regression estimation. This paper measures the level of climate change disclosure based on the carbon disclosure leadership methodology. Carbon performance is based on the intensity of carbon emissions (Scope 1, Scope 2), which is a quantitative and relatively more objective measure.

The results suggest that climate change disclosure continued to increase and the carbon emissions intensity of the companies in this study gradually decreased over the sample period. This paper finds that the presence of the CSO within the top management team has a positive and significant influence on the level of information on climate change of the companies in the sample. This finding confirms the idea that the managerial capacity of CSOs motivates the disclosure of climate change. The empirical results confirm that there are differences in the role that the CSO and sustainability-based compensation play in influencing the quality of climate information disclosure in developed and developing countries.

The recourse on a mixed theoretical framework, which highlights upper echelons theory, argues the understanding of the role of CSOs in explaining the relationship between climate change disclosure–carbon performance relationship. The novelty of the study lies in the approaches adopted to describe the quality of climate change disclosure. To control for endogeneity, this paper uses a difference-in-difference analysis by adding a firm to the Morgan Stanley Capital International index as an exogenous shock.

This paper aims to demonstrate how the design of data visualisations can act as a tool to support social marketing messages in prompting behaviour change to reduce food waste using the Elaboration Likelihood Model (ELM) as a theoretical framework. It also responds to a lack of consumer-led insight to develop campaigns in reducing food waste.

The research uses data collected by the End Food Waste Cooperative Research Centre (EFW CRC) in Australia to determine which text-based campaign messages are most likely to prompt people toward reducing food waste. Behaviour change messages were first identified through workshops with 11 food waste experts, then explored through online focus group discussions with 18 participants from three food-wasting market segments. The messages were further tested via a quantitative survey among 1,000 decision makers in Australian households in their own homes, with the top three performing messages examined using summative content analysis.

The significant findings were that participants want to see 1) evidence of how adopting new behaviours would lead to financial savings and benefit the environment, and 2) concrete steps to reduce food waste. When examined through the ELM, the findings suggest that tools that encourage both cognitive and peripheral processing as a means of persuasion, like data visualisations, may be useful for changing food-wasting behaviours.

Applying principles from the field of communication design to the ELM has uncovered the potential for a cross-disciplinary approach to enhance theoretical frameworks for understanding consumer engagement with messages. This process in turn, may lead to the development of more effective behaviour change marketing strategies.

Six principles for using data visualisations in a social marketing campaign are proposed: personal relevance, ease of use, emotional storytelling, context, prioritising the message itself and long-term usage.

This study proposes that data visualisations could enhance the effectiveness of social marketing campaigns by leveraging consumer-derived insights and the persuasive capacity inherent in their theoretical underpinnings.

The study investigates the influence of inclusive growth on tax revenue. It validates the fiscal exchange and resource bargaining theories, which suggest that tax compliance improves when citizens perceive that their tax contributions lead to enhanced welfare and that the government negotiates with people to provide public goods and services in exchange for taxes received.

The paper employs inclusive growth measures, including an integrated GDP and equity growth measure and alternative proxies based on GDP per person employed and Asian Development Bank (ADB) inclusive growth indicators. Using 39 sub-Saharan African countries as a sample, our analysis captures spatial interactions across these contiguous countries using the Fixed-Effect model with the Driscoll and Kraay non-parametric consistent covariance matrix and the spatial Durbin Arellano–Bond linear dynamic panel generalized method of moment (Spatial GMM) approach with an interaction weight matrix to capture interactions between countries in the region.

The paper shows that inclusive growth positively influences tax revenue in the region. This validates the fiscal exchange and resource bargaining hypotheses, demonstrating that tax compliance is positively influenced by public goods provision and the government’s ability to emphasize the necessity of taxes for service provision. It indicates that citizens are more willing to pay taxes when the government effectively promotes welfare. We find a significant positive spatial spillover effect, suggesting that inclusive growth not only boosts tax revenue within a specific country but also extends its benefits to neighboring countries, aligning with the spillover theory.

The study posits that the government implements policies that guarantee effectiveness and accountability in public welfare delivery as well as sufficient tax bases and tax revenue. An inclusive growth policy that engenders GDP growth, employment and equity growth should be implemented since the rate of tax compliance of the citizens improves for every welfare provided by the government.

This study tests the validity of the fiscal exchange and resource bargaining theories in Sub-Saharan Africa. Accommodating spatial dependence and cross-border effects, the study sheds light on how inclusive growth impacts tax revenue across contiguous countries in the region. As such, the region should prioritize regional integration, fostering economic ties and harmonizing policies through knowledge sharing and cross-border investment.

Following counterarguments from previous studies, overwhelming evidence from meta-analyses shows that supply-chain integration (SCI) is not universally associated with improved performance. This study aims to clarify all the mechanisms purported to reach the combined effects of SCI dimensions.

In this study, the authors first conducted a literature review and identified the effects of different individual SCI dimensions and their interactions and mediation, or arcs of integration, as reported by past studies. Data from a survey of 348 firms were analyzed using multiple regressions, structural equation modeling and latent class analysis.

The results showed that the positive independent associations between SCI dimensions and operational performance change as they interact. Larger combinational effects were found in a second-order SCI construct and a mediation model. Smaller effects and fewer significant paths (and even negative signs) were also found. This shows that more SCI is not always better. Finally, configurational effects varied: the latent class analysis showed that a more inward (internal integration) gestalt performed better for some firms.

Some variables that could affect operations performance were missing from the models, and this paper did not specify the directions of relationships among the five performance dimensions. The authors are aware of cumulative models, but they are not within the scope of this paper. In addition, this study did not consider other sociocultural factors that may influence different dimensions of SCI.

This study shows SCI dimensions play different roles. Therefore, it is needed to theorize the distinct roles of internal and external integration and how they somehow compensate or substitute for each other. The results suggest that future studies need to reexamine the universal predictions especially from resource-based, resource-advantage and relational views. SCIs are not inimitable and rare resources for all firms. Furthermore, implementing SCI does not guarantee resource and relational advantages for all firms.

Alternative theoretical perspectives on performance measurement and management (PMM) have been advanced in response to shortcomings observed with the dominant control systems-based paradigm. The purpose of this investigation is to ascertain whether one such perspective, rooted in social systems theory and practice theory, can accommodate these shortcomings and positively impact organisational effectiveness (OE) and performance.

Longitudinal critical realism-based case study research is employed in action research mode to investigate how adopting a social complexity perspective on PMM affected the behaviour and performance of a commercial organisation.

The case study observations suggest that by putting people and their behaviour and organisational practices at the centre of PMM, near-term organisational outcomes can be influenced favourably in complex and dynamic environments.

This investigation provides a tool for undertaking a social complexity interpretation of PMM.

This research supports the proposal that complexity theory provides an alternative paradigm for managing performance in organisations and describes the first practical application of a social complexity interpretation of PMM. It presents a model for use and further development by other researchers.

Warehouses are under pressure to operate as efficiently as possible. In pursuit of attaining high efficiency in the order picking process, the warehouse manager must take several planning decisions, typically supported by a central planning system. However, highly centralised work erodes the autonomy of warehouse workers, interfering with worker well-being and productivity. This study holistically explores the impact of a work system with more decision autonomy for order pickers.

We conduct a unique field experiment in a real-world warehouse and use a within-subjects design to compare two work systems, one with worker autonomy and one without. 18 permanent employees participate in our study, in which we measure both psychosocial and physical well-being as well as productivity. Post-experimental interviews are conducted to delve deeper into the observed effects.

Our study illustrates that involving order pickers in operational decisions can benefit their job satisfaction and motivation without compromising productivity. Although we fail to find significance at the conventional level (α = 0.05), we do find marginally significant effects of our treatment on physical well-being aspects. Furthermore, our intervention invoked a highly positive user experience.

We show that slightly loosening tight process control results in organisational and individual benefits without endangering smooth operational flows. The warehouse in this paper acknowledged this and decided to permanently work according to this philosophy.

This study is the first to holistically explore the effects of a participatory work setting in a real-world warehouse.