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The purpose of this empirical study was to test whether presenting organizational change in a way that enhances employee self-worth will result in increased employee support for the identified change. In doing so, we developed a new measure, which includes a novel baseline element.

Items were developed, and then categorical validation data were collected through an online cross-sectional survey in which 222 respondents (adults over 18 years of age, and at least 6 months tenure) participated.

Within the items, we framed the activation of self-worth bias as requests for employee comments regarding change efforts. Results indicate there is a difference between asking for employee comment on change efforts, compared to asking for employee comment on change efforts and also providing feedback considerate of that input.

This study explores and presents a convergence between behavioral economics, management and applied psychology research – using both self-worth bias, and organizational change management communications; no other such comparable study or analysis could be found during the preparation of this research effort. Furthermore, a novel measure and innovative method is presented for developing and measuring self-worth bias during organizational change management communications.

House price fluctuations send vital signals to many parts of the economy, and long-term predictions of house prices are of great interest to governments and property developers. Although predictive models based on economic fundamentals are widely used, the common requirement for such studies is that underlying data are stationary. This paper aims to demonstrate the usefulness of alternative filtering methods for forecasting house prices.

We specifically focus on exponential smoothing with trend adjustment and multiplicative decomposition using median house prices for Sydney from Q3 1994 to Q1 2017. The model performance is evaluated using out-of-sample forecasting techniques and a robustness check against secondary data sources.

Multiplicative decomposition outperforms exponential smoothing at forecasting accuracy. The superior decomposition model suggests that seasonal and cyclical components provide important additional information for predicting house prices. The forecasts for 2017–2028 suggest that prices will slowly increase, going past 2016 levels by 2020 in the apartment market and by 2022/2023 in the detached housing market.

We demonstrate that filtering models are simple (univariate models that only require historical house prices), easy to implement (with no condition of stationarity) and widely used in financial trading, sports betting and other fields where producing accurate forecasts is more important than explaining the drivers of change. The paper puts forward a case for the inclusion of filtering models within the forecasting toolkit as a useful reference point for comparing forecasts from alternative models.

To the best of the authors’ knowledge, this paper undertakes the first systematic comparison of two filtering models for the Sydney housing market.

Recent research advocates that there are plenty of opportunities for key players in the offsite construction (OSC) sector to harness the full potential of advanced project management techniques. While previous research mainly focuses on transformations related to digital and advanced technologies driven by industry 4.0 principles, a research gap still exists on the intersection of project management capabilities and OSC. This study attempts to bridge this gap by capturing the homogeneity of different capabilities and integrating them into an overarching framework.

A scientometric analysis is conducted to provide an overview of the co-occurrence network of keywords in the representative studies. A systematic literature review (SLR) of articles published between 2010 and 2022, followed by a subsequent full-text examination of 63 selected articles, revealed 34 interrelated capabilities to be categorised under three exhaustive planning-oriented, design-oriented and delivery-oriented groups.

This review revealed an upward trend of publication on project management capabilities for OSC with a specific interest in optimisation of resources allocated to offsite operations. The top five capabilities discussed more frequently in the literature include (1) artificial intelligence for design error detection, (2) enhanced resource productivity, (3) cost saving in offsite production, (4) real-time traceability of modules and (5) applying lean agile production principles to OSC, which imply the critical role of quality, cost saving, traceability and agility in OSC.

This study elicits core capabilities and develops a new offsite project management framework for the first time. The authors provide directions for researchers and practitioners to apply capabilities for obtaining better outcomes and higher value out of offsite operations.

The purpose of this research is to present an integrated methodological framework to aid in performance stewardship of management institutions according to their strategies based on a holistic evaluation encompassing social, economic and environmental dimensions.

A Mamdani fuzzy inference system (FIS) approach was adopted to design the quantitative models with respect to balanced scorecard (BSC) perspectives to demonstrate dynamic capability. Individual models were developed for each perspective of BSC using Mamdani FIS. Data was collected from subject matter experts in management education.

The proposed methodology is able to successfully compute the scores for each perspective. Effective placement, teaching learning process, faculty development and systematic feedback from the stakeholders were found to be the key drivers for revenue generation. The model is validated as the results were well accepted by the head of the institution after implementation.

The model resulting from this study will assist the institution to cyclically assess its performance, thus enabling continuous improvement. The strategy map provides the causality of the objectives across the four perspectives to aid the practitioners to better strategize. Also this study contributes to the literature of BSC as well to the applications of multi-criteria decision-making (MCDM) techniques.

Mamdani FIS integrated BSC model is a significant contribution to the academia of management education to quantitatively compute the performance of institutions. This quantified model reduces the ambiguity for practitioners to decide the performance levels for each metric and the priorities of metrics.

The primary focus of this study is to examine the distributional consequences of the widespread increase in prices. The fundamental question the study aims to address is whether the dynamics of income distribution due to higher inflation differ in the short term compared to the long run.

The authors estimated a panel-data model (fixed effects) using inequality and inflation data available at a high frequency, i.e. on a quarterly basis for over 30 years, and found evidence that inflation causes rapid swings in income distribution.

The authors’ contribution to the literature lies in providing evidence that inflation rapidly causes swings in income distribution, even after controlling for the state of the economy. The authors also demonstrate that the magnitude and direction of the effect of inflation on income inequality depend on whether the initial inflation rate is below or above the Federal Reserve’s target of 2%.

To the best of the authors’ knowledge, the authors are the first to emphasize that the targets set by central banks can drive the strength and direction of the relationship between inflation and income inequality.

The purpose of this paper is to assess the digital transformation of students' reading preferences and behaviors, considering the significant impact of digital resources accessible through the internet among allied health students.

The researchers used a structured questionnaire to collect data. The study focused on undergraduate allied health students from medical universities in Pakistan. The researchers used a convenient sampling technique. Data analysis was performed using statistical software packages R and SPSS.

The results indicate that allied health students frequently use databases, e-books and e-journals to fulfil their academics and research needs, aiding in the acquisition of up-to-date information and supporting various academic research pursuits. The study emphasizes the positive effects on the reading habits of allied health students, attributing these improvements to factors such as enhanced online databases, a broader array of materials and the integration of digital tools. However, challenges arise from the limited availability of relevant e-resources and the dispersion of information across various library sources.

This study provides valuable insights into the availability and utilization of e-resources among allied health students in Pakistan. It highlights the crucial role that digital resources play in shaping reading behaviors within the educational landscape. This study holds significance as it contributes to educational enhancement, proves beneficial for the improvement of university library resources and services and aids in the development of policies in health-care education.

Personal data is today recognized as an asset in the digital economy, generating billion-dollar annual revenues for many companies. But how much value do users derive from their seemingly free apps (zero-price services), and what user costs are associated with this value exchange? By adopting a human-centric lens, this article scrutinizes the complex trade-offs users face trying to capture the benefits and unperceived costs that such usage entails.

Using a mixed-method research design, this study is anchored in empirical survey data from 196 participants in Linköping, Sweden. The authors investigate users’ willingness to pay for these services in relation to different types of costs.

The results indicate that users can derive significant value from the use of free services, which can be interpreted as a win-win situation between users and companies. Regarding costs, this research shows that the most significant costs for users are associated with procrastination, sleep deprivation and reduced focus, which can be challenging to identify and evaluate from the users’ perspective.

This study shows that zero-price services provide significant benefits like enhancing social connectivity and offering a wide variety of content. Significant drawbacks, such as increased procrastination and sleep disturbances, highlight the psychological effects of these platforms. These impacts include behavioral changes, emphasizing the influence of online platforms on user engagement. Furthermore, a trend toward single-purchase preferences over free services suggests changing consumer attitudes toward digital payment models. This underscores the need for further research on non-monetary aspects in zero-price markets for better understanding and regulation of the digital economy.

This study shows that users appreciate the accessibility and potential of zero-price services but are wary of privacy concerns. It underscores the need for companies to balance profit objectives with user experiences and privacy requirements. Offering a range of ad-free premium services to meet diverse customer needs can be effective. Users’ high valuation of privacy and transparency suggests businesses should focus on human-centric, privacy-respecting strategies. Increased transparency in data usage and giving users greater data control could enhance the user experience and foster sustainable customer relationships.

The study calls for policymakers to focus on non-monetary risks of zero-price services, such as behavioral changes and digital well-being impacts. They should consider implementing regulations to protect users, especially children, from manipulative designs such as “dark patterns”. Policymakers must balance user protection with innovation, leading to a sustainable zero-price economy. For zero-price service users, awareness of non-monetary costs, like procrastination and sleep deprivation, is vital. Understanding that “free” services have hidden costs is important, especially for younger generations. Managing privacy settings and selective service choices can protect privacy and well-being.

This research shifts the focus from simply valuing personal data based on market prices to assessing the worth of free services themselves. By listing various hidden costs, it underscores the need for increased user awareness and greater corporate transparency. Uniquely, it finds that users prefer making one-time purchases over using zero-price services, extending prior assumptions in the field. Additionally, it also characterizes the zero-price economy ecosystem, highlighting differences between market types and provides a deeper understanding of the zero-price market and its related concepts.

This study aims to examine the relationship between corporate social responsibility (CSR) and job pursuit intention (JPI), and the role of job seekers’ perception on employer prosocial orientation, value congruence and employer attractiveness in this relationship. CSR is measured based on internal and external CSR.

By adopting quantitative approach, data was obtained through survey questionnaire from 420 bachelor’s degree university fresh graduates from five universities in Malaysia who are actively seeking for jobs. Data was analysed using structural equation modelling technique.

Research findings show that internal and external CSR positively impact job seekers’ perception of employer prosocial orientation. Job seekers’ perception towards employer prosocial orientation has a significant positive impact on value congruence. Value congruence has a significant positive influence on employer attractiveness. Finally, employer attractiveness has a significant positive impact on JPI.

The findings are useful for human resources management. Organisations (employers) should focus on effective internal and external CSR practices through a prosocial orientation approach to attract the best talents and create a strong position in the job market.

This study extends the Signalling Theory and P-O Fit theory by applying them to an entirely different context of CSR and JPI, by incorporated the holistic job seekers’ psychological processes of the recruitment signals (internal and external CSR), signalling process and person-organisation fit (perception on employer prosocial orientation, value congruence and employer attractiveness) thoroughly.

The Kurdistan Region of Iraq (KRI) stands as a significant player in the hydrocarbon landscape of the Middle East, necessitating an in-depth analysis of its role in the exportation process to Turkey and Mediterranean ports, thereby fostering economic and political ties and projecting toward the future. Situated as a semi-autonomous entity in northern Iraq, the Kurdistan Region boasts abundant natural gas resources, attracting interest from Russian firms and Turkish stakeholders. However, Iran’s influence in Iraq and the wider region poses a regional threat to the Kurdistan Region’s natural resources. This chapter meticulously examines the oil and gas blocks within the Kurdistan Region amidst the backdrop of transformative global energy market shifts, including the impacts of the COVID-19 pandemic and the Russian–Ukrainian conflict. Through this lens, it seeks to delineate the Kurdistan Region’s political and economic positioning within the evolving regional order.

The purpose of this study is to conduct a comprehensive systematic literature review using bibliometric approach to investigate the academic structure of World Trade Organization Dispute Settlement research.

The study examines the bibliographic information for 1,858 articles from Scopus and the Australian Business Deans Council-indexed journals published between 1995 and 2024 using Dimensions.ai and Google Scholar search engines. Exploratory-cum-descriptive research design with bibliometric approach is used to answer the stated literature review research questions.

The data shows a gradual decline in WTO-Dispute Settlement System (WTO-DSS) research relative to the total international business area in the three decades. Developed countries appear as key contributors to the research, with the USA and the UK standing out as the most productive and influential research countries. The study shows a significant change in the focus of this research corpus from legalized to non-legalized approaches, with a greater emphasis on transparency and environmental sustainability. The research identifies global politics and international trade law as influential subjects in the discipline.

To the best of the authors’ knowledge, the study is a first of its kind where bibliometric approach has been used to study the evolution of WTO-DSS literature. The study adds to the understanding of WTO Dispute Settlement research patterns and recommends future research options.