The Business School - Te Kura Kaipakihi

Permanent link for this collectionhttps://hdl.handle.net/10292/1066

The Business School - Te Kura Kaipakihi conducts disciplinary research that is at the fore front of international knowledge. Their researchers are recognised experts in their fields and produce research of relevance to their academic and non-academic stakeholders. The Business School has research strength in: Accounting, Business Information Systems, Economics, Finance, International Business, Management (including Human Resource Management and Employment Relations), Marketing, Advertising, Retailing and Sales.

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Now showing 1 - 20 of 758

ESG Expertise and Analysts' Roles in Capital Markets
(Elsevier, 2026-02-16) Wei, Yixin Lucy; Cahan, Steven F; Chen, Li
Financial analysts are key information intermediaries and external monitors in capital markets, producing earnings forecasts and revisions that shape investors' expectations and asset prices. This study examines whether analysts differ in their ability to process an increasingly important but complex information dimension, environmental, social, and governance (ESG) information, and how such differences affect forecast performance, market reactions, and monitoring outcomes. We use the extent of prior exposure to ESG information as a proxy for analyst ESG expertise and examine its influence on their roles in the capital market. For the information intermediary role, we find that analysts with more industry-specific ESG expertise issue more accurate forecasts and their upward forecast revisions evoke stronger market reactions, indicating that ESG expertise is positively related to analysts' forecast quality. In terms of the external monitor role, we find that more coverage by analysts with greater industry-specific ESG expertise (ESG expert analysts) is positively associated with firms' ESG performance. Additional analysis shows that ESG expert analyst coverage increases after a firm receives its initial third-party ESG rating, suggesting that ESG expert analysts do consider ESG-related firm information when making coverage decisions.
Job performance reviews are outdated and often pointless. Why do we still use them?
(The Conversation, 2026-03-13) Morrow, Jeremy; Anderson, Danae
Modeling the Supply Chain Sustainability Imperatives in the Fashion Retail Industry: Implications for Sustainable Development
(Public Library of Science (PLoS), 2024-12-31) Tariqul Islam Imran, M; Karmaker, CL; Karim, R; Misbauddin, SM; Mainul Bari, ABM; Raihan, A
The resilience of established business strategies has been tested in the wake of recent global supply chain upheavals triggered by events like the COVID-19 pandemic, Russia-Ukraine combat, Hamas-Israel war, and other geopolitical conflicts. Organizations are compelled to integrate sustainable practices into their supply chains to navigate the complexities of the post-COVID-19 era and mitigate the far-reaching consequences of such disruptions. However, exploring supply chain imperatives from sustainability dimensions still remains underexplored, presenting a significant research gap, particularly in the fashion retail sector. In response, this study aims to pioneer an innovative approach by amalgamating Pareto analysis, Bayes theorem, and the Best-Worst Method to evaluate sustainability imperatives comprehensively. Focusing on emerging economies like Bangladesh and its fashion retail industry, this methodology synthesizes insights from literature reviews, expert feedback, and Pareto analysis to curate a definitive set of influential imperatives. Finally, the Bayesian Best-Worst Method is applied to examine them. The results reveal the availability of government support schemes to promote sustainability, developing strategic supply chain interventions to ameliorate the impact of disruptive events, and digitalizing the supply chain as the most monumental imperatives under economic, social, and environmental perspectives, respectively. The study’s innovative methodology and its implications for sustainable supply chain management offer valuable insights for both academic research and practical application, presenting a strategic blueprint for the fashion retail industry to navigate and thrive in the post-COVID-19 era. This work can not only advance the theoretical understanding of supply chain sustainability but also provide actionable guidance for industry leaders in developing robust, resilient, and sustainable supply chain strategies.
Cross-Country Differences in Consumer Acceptance and Advocacy of Novel Food Technologies
(Elsevier BV, 2026-07) Lin, Brian; Conroy, Denise; Errmann, Amy; Gan, Caixia; Fahn, Hugo
Novel food technologies can contribute to more sustainable and resilient food systems, but their success depends on public acceptance. This study examines cross-country and demographic differences in consumer responses to three novel food technologies, gene editing, cellular agriculture, and controlled-environment agriculture, using data from 14,617 participants across eight countries. Adoption readiness was assessed across four dimensions: perceived safety, willingness to buy, willingness to encourage others to buy, and support for government initiatives. Results show substantial variation across countries and demographic groups, underscoring the importance of national contexts and sociodemographic factors in shaping acceptance, social endorsement, and policy support. These findings offer a multi-dimensional understanding of how consumers evaluate novel food technologies and provide insights for industry, researchers, and policymakers advancing future food innovations.
Professional Identity and Stigma in the Context of War
(Emerald, 2026-03-11) Earl, Anna; Raskovic, Matt; Iskhakova, Marina; Iskhakov, Fedor
Purpose This study aims to examine the impact of critical events, such as wars, on the professional identities and stigmatization of academics living abroad. Through the theoretical lenses of stigma and identity research, the study explores the coping strategies of the impacted academic professionals. Design/methodology/approach This study uses a mixed-methods approach. The findings are based on in-depth, semi-structured interviews with 30 academics of Russian origin residing abroad, along with 265 survey responses from the same population. Findings The results indicate a significant impact of the war on stigmatized academics’ professional identities, due to political and social environments. Stigmatized academics’ research, teaching and service/leadership has been impacted with research being impacted the most. We identified four stigma coping strategies – dilution, information management, reconstruction and emotion work. These strategies were the most utilised by academics to reduce the impact of stigmatization through social identification. Originality/value The study serves as a valuable contribution to the literature on professional academic identity, as well as stigma in international business within the context of war.
The Influence of Sentiment and Emotion on Helpful Reviews: Machine Learning Analysis of Emotion Dynamics in Online Reviews
(SAGE Publications, 2026-01-21) Lee, SJ; Tipgomut, P; De Villiers, R
Previous research on sentiment’s impact on perceived helpfulness shows mixed results; while some highlight the benefits of positive valence, others favour negativity or balanced (50/50) reviews. These inconsistencies may arise from sentiment polarity approaches that overlook emotional complexity. This study examines how sentiment and emotions expressed in online customer reviews on platforms such as TripAdvisor influence perceived helpfulness. We analysed the differences in three sentiments and eight emotions between helpful and unhelpful reviews (n = 2,785,999) using sentiment analysis (e.g., positive, neutral, and negative) and emotion analysis (e.g., anger, disgust, fear, joy, sadness, surprise, happiness, and love). To achieve this, we developed and trained an artificial intelligence emotion detection model using a transformer-based machine learning algorithm on a tweet emotion dataset (n = 2,774,566). Findings reveal that a slight increase in negative emotions (from 11% to 17%) significantly enhances perceived helpfulness, supporting negativity bias theory. These findings are further enriched by broader psychological theories such as emotional salience and diagnosticity, which help explain why certain emotional expressions in reviews may be more cognitively and behaviorally impactful. Reviews blending high positive and low negative emotions are most helpful, while extreme or balanced sentiments are less impactful. Additionally, negative emotions (notably sadness) are more prevalent in helpful reviews as price levels rise, suggesting an even stronger negativity bias. Logistic regression analysis further confirms emotion-focused models, particularly those emphasising negative emotions, exhibit greater explanatory power than sentiment-based models, particularly in the high-price context.
Through the mill: Tokoroa’s tough year was about much more than job losses
(The Conversation, 2025-12-10) Hurd, Fiona; Dyer, Suzette
Non-Economic Quality of Life and Population Density in South Africa
(Springer, 2016-10-25) Greyling, T; Rossouw, S
The purpose of this study is to investigate the relationship between population density and non-economic quality of life. Popular opinion has generally been that population density can be seen as beneficial for economic growth, as it allows for greater productivity, greater incomes and can be translated into higher levels of quality of life. Recently though, growing evidence tends to suggest the exact opposite in that increases in productivity and incomes are not translated into better quality of life. As economic or income variables have always played a significant role in this research, questions regarding the relationship between population density and non-economic quality of life has largely remained unanswered. In this light, the paper utilises a panel data set on the eight metropolitan cities in South Africa for the period 1996–2014 to determine the relationship between population density and non-economic quality of life in the South African context. In the analyses we make use of panel estimation techniques which allows us to compare changes in this relationship over time as well as adding a spatial dimension to the results. This paper contributes to the literature by firstly studying the aforementioned relationship over time and secondly conducting the analyses at a sub-national level in a developing country. Our results show that there is a significant and negative relationship between population density and non-economic quality of life. Based on our findings policy measures to encourage urbanisation should not be supported if the ultimate outcome is to increase non-economic quality of life.
Coping With Crisis: The Paradox of Technology and Consumer Vulnerability
(Wiley, 2021-06-21) Yap, SF; Xu, Y; Tan, LP
The COVID-19 pandemic has created unprecedented disruptions in consumers’ daily lives. Regulations imposing social distancing, quarantine and full-scale lockdowns have heightened the risks amongst vulnerable consumer groups such as the elderly and socially or financially disadvantaged. However, these restrictions have also caused transitory vulnerability in many people who are not considered vulnerable under normal circumstances. Digital technology has become central to almost every aspect of consumers’ lives in response to restriction measures and in coping with pandemic-induced stress and anxiety. Technology-mediated consumption as a coping strategy amidst a crisis is an under-researched topic within the marketing literature. This paper discusses four paradoxes of technology central to understanding the nexus between technology consumption and consumer vulnerability. We propose a comprehensive research agenda and call for future research that could overcome the limitations of traditional research designs. Our work serves as a springboard for future scholarship and opens doors for other researchers to continue exploring this critical research area.
Currency and Commodity Return Relationship Under Extreme Geopolitical Risks: Evidence From the Invasion of Ukraine
(Taylor & Francis, 2022-09-14) Dodd, Olga; Fernández-Pérez, Adrian; Sosvilla-Rivero, Simon
We examine the relationship between currency and commodity returns around the invasion of Ukraine in February 2022. We find that the expected positive contemporaneous relationship between currency and commodity returns reverses and becomes negative during this period of extreme geopolitical risks. In addition to commodity returns, currency returns around the invasion of Ukraine are significantly affected by geopolitical factors, particularly geographic distance to the war. Our results indicate that a war between two major commodity-exporting countries significantly affects global currency pricing.
NZ is slowly slipping on the global corruption index. Is it time for an anti-corruption agency?
(The Conversation, 2026-02-18) Raskovic, Matt
Decoding University–Industry Collaboration: A SEM-ANN Quadruple Helix Approach
(Springer Science and Business Media LLC, 2025-09-24) Hossen, Mohammad Awal; Misbauddin, SM; Molla, Chanchal; Nabi, Md Noor Un; Sakib, Md Nazmus
University–industry collaboration (UIC) has received special emphasis from academicians and policymakers due to its potential for innovation diffusion and knowledge dissemination, leading to innovation ecosystem development and socio-economic advancement. Though extant literature has explored mechanisms to enhance university–industry collaboration, it has not investigated the quadruple helix model by integrating the role of academia, business firms, government, and civil society in fostering UIC. Grounded in the quadruple helix model, the objective of this research is to unveil the determinants of university–industry collaboration through developing an integrated framework. Data were gathered through a cross-sectional survey with 253 faculty members involved with the academia–industry collaboration research projects in Bangladeshi universities. To detect nonlinear relationships among variables, data were analyzed using a novel dual-staged structural equation modeling-artificial neural network (SEM-ANN) approach. The university’s innovation climate, mismatch of orientation in the academia–industry, and motivation-related constraints were found to have significant influence on university–industry collaboration (UIC). Besides, government support and input from civil society moderate the relationships between the predictors and UIC. However, the alignment of mutual goals does not have significant impact on harnessing UIC. Based on the normalized importance imputed from the ANN algorithm, the university’s innovation climate was proved to be the strongest predictor, followed by motivation-related constraint and mismatch of orientation between the university and industry. In light of the results, several insightful theoretical and practical implications are discussed for enhancing university–industry collaboration.
Employee Change Orientation (EChO) Framework: A Meta-review and Taxonomy
(Cambridge University Press (CUP), 2025-10-01) Brazzale, Paulette; Cooper-Thomas, Helena; Smollan, Roy K; Haar, Jarrod
Given the ubiquity of organizational change, it is fitting that considerable research has focused on employees’ responses to change, much of it collated in review articles. With the aim of integrating this diverse review literature and providing an employee-centric theorization, we provide a meta-review, a systematic review of reviews. We present the meta-construct of employee change orientation (EChO), which aggregates employee responses, attitudes, behaviors, and the associated psychological mechanisms related to organizational change. Our meta-review includes 50 scholarly reviews published between 2001 and June 2025, drawing on 1,606 primary studies. Through a synthesis of these reviews, we present the EChO framework and taxonomy. We identify areas for improvement, particularly for research design, and generate key insights for change practitioners working with employees experiencing change. Our meta-review contributes by clarifying well-researched areas, extending theorizing, and highlighting the need for further research to understand how employee responses to change influence outcomes.
Circular Supply Chain Design for Biohydrogen Recovery From Perishable Agri-Food Waste
(Elsevier BV, 2026-02-13) Khazaei, Moein; Mehrparvar, Maryam; Govindan, Kannan; Barazandeh, Saeid; Mostofi, Amirhossein; Mohemmi, Zahra
The increasing interdependencies between water, energy, and food systems highlight the urgency of integrated solutions for managing environmental and resource challenges. This study proposes a sustainable logistics framework for converting agri-food waste into biohydrogen, drawing on the Water-Energy-Food (WEF) Nexus to guide strategic planning. Focusing on Razavi Khorasan, Iran, a drought-prone region with substantial upstream food losses and declining groundwater reserves, the research explores how circular supply chain can support both waste reduction and clean energy generation. The proposed system is structured around a closed-loop supply chain that incorporates both forward delivery and reverse logistics to collect perishable food waste and redirect it for biohydrogen production. This approach prioritizes the recovery of high-water-footprint items such as fruits, vegetables, and cereals, thereby mitigating the loss of embedded resources. A scenario-based assessment of vehicle types and environmental policies highlights the operational and environmental trade-offs of different logistics strategies. The findings suggest that low-capital interventions, such as smart routing and shared logistics, can deliver significant environmental benefits without the infrastructure barriers of full fleet electrification. Ultimately, the framework supports resilient, low-carbon pathways for agri-food systems in water-stressed regions, contributing to circular economy goals and Sustainable Development Goals (SDGs) related to climate action, food security, and clean energy access.
Effects of Metaverse Experience on Behavioral Intention of Visitors: Moderating Role of Similarity Between Virtual and Real Experience
(Emerald, 2024-04-17) Shin, Seunghun; Koo, Chulmo; Kim, Jungkeun; Gursoy, Dogan
Purpose: This paper aims to examine the impact of metaverse experiences on customers’ offline behavioral intentions: How do customers’ visits to a hospitality business’s virtual property in the metaverse affect their intentions to visit the physical property in the real world? Design/methodology/approach: Based on the general learning model and social cognitive theory, this research hypothesizes the positive impact of metaverse experiences on customers’ visit intentions and explores two boundary conditions for positive impact: user–avatar resemblance and servicescape similarity. Two experimental studies were conducted. Findings: Metaverse experience has a significant impact on customers’ visit intentions, and this impact is moderated by user–avatar resemblance and servicescape similarity. Research limitations/implications: This research addresses the call for empirical studies regarding the effects of metaverse experience on people’s behavioral intentions. Originality/value: As one of the earliest empirical studies on the marketing effects of the metaverse, this research provides a basis for future metaverse studies in the hospitality field.
Predicting ETF Liquidity
(SAGE Publications, 2023-01-10) Pham, Son D; Marshall, Ben R; Nguyen, Nhut H; Visaltanachoti, Nuttawat
Substantial transaction costs are incurred in exchange-traded fund (ETF) trading each year. This article examines a vector autoregressive (VAR) model’s performance and other trading schedules to time trades in a large sample of 1350 ETFs over the 2011–2017 period. We reject the notion of a one-size-fits-all trading schedule that maximizes spread savings for all ETF traders. ETF traders who want to split their orders could save 7.40% of ETF spread costs, whereas trading at the market closing time would be optimal for ETF traders without motives to split trades. The spread savings for ETF traders are diverse across ETF sectors and depend on the spread volatility.
The IASB Standard-setting Literature: A Survey of Evidence and Future Research Opportunities
(Elsevier BV, 2026-02-06) Kabir, Humayun
This paper provides a systematic review of the evidence regarding the International Accounting Standards Board (IASB)’s standard-setting behavior and constituent participation in its standard-setting process. This broad objective is broken down into specific research questions based on the phases of the IASB’s formal standard-setting process, and the review is structured around these questions. The sample comprises 75 research studies published from 2002 through 2023. The private interest theory informs the analysis of the evidence. The findings suggest that the IASB’s standard-setting practices and constituent participation behavior are aligned with this theory. The results indicate that three broad areas attracted the most scholarly attention: changes in the IASB’s governance and due process, constituent participation in the IASB’s standard-setting process, and constituent influence on the IASB’s standard-setting. However, several areas remain relatively underexplored, including agenda-setting, constituent positions on IASB proposals and their determinants, the arguments and language choices in comment letters, the IASB’s internal process, the arguments and language choices in International Financial Reporting Standards (IFRS), and post-implementation reviews. The evidence reviewed in this paper suggests that the IASB largely maintained its independence in standard-setting and obtained legitimacy from its constituents. Finally, the paper identifies opportunities for further enriching the literature.
Investigating the Mediating Impact of Supplier Quality Integration in Pharmaceutical Supply Chains
(Emerald, 2024-11-21) Alkalha, Ziad; Dehe, Benjamin; Reid, Iain; Al-Zu'bi, Zu'bi MF
Purpose: The study aims to investigate the mediating impact of supplier quality integration on the operational performance of the pharmaceutical supply chain (PSCs) by comparing mature and evolving PSCs. Design/methodology/approach: The study adopted a quantitative method where data were gathered through a survey instrument to identify the differentiators of dynamic capabilities and establish the extent of quality integration in PSCs. Thus, 310 questionnaires were collected from mature and evolving PSCs, where the PROCESS technique was used to analyse the data. Findings: The results demonstrate the significant paths that enable companies to create, extend and modify the resources to develop their dynamic capabilities. The results reveal significant differences in internal and supplier quality implementation and their impact on operational performance between mature and evolving PSCs. Originality/value: To the best of our knowledge, this is the first study to examine dynamic capabilities aspects of the pharmaceutical supply chain quality integration in mature and evolving PSCs, which extends the body of knowledge and makes a practical contribution.
The World Internet Project (New Zealand) 2025
(New Zealand Policy Research Institute, Auckland, New Zealand, 2025-11-12) Chua, Serene; Meehan, Lisa; Turcu, A
Co-creating Inclusive Work-integrated Learning Opportunities: Insights for Stakeholders
(Emerald, 2025-02-26) Wilkinson, Helene; Nagar, Swati
This study aims to position work-integrated learning (WIL) as a transformative pedagogy for international business (IB) education. By embedding diversity, equity and inclusion (DEI) into WIL, the authors demonstrate how universities can better prepare IB students to navigate global challenges and thrive in multicultural, dynamic business environments. WIL brings together students, industry and higher education providers to meet the needs of the labour market, where DEI increasingly matter from both a business case and social justice perspective. Building on over 30 years of cumulative experience in industry engagement and WIL, the authors discuss key forces, trends, challenges and opportunities in co-creating inclusive WIL opportunities for an increasingly diverse group of learners.

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