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The complexity of property valuation, coupled with valuers’ cognitive limitations, makes some degree of error inevitable in valuations. However, given the crucial role that valuations play in the efficient functioning of the economy, there is a need for continuous improvement in the reliability of reported values by enhancing the quality of the decision-making process. The purpose of this paper is to review previous research on valuation decision-making, with particular interest in examining the approaches to improving the quality of valuation decisions and identifying potential areas for further research.

The paper adopts a narrative approach to review 42 research articles that were obtained from Scopus and Web of Science databases and through author citation searches.

Our findings show that existing literature is skewed towards examining the use of technology in the form of decision support systems (DSS), with limited research attention on non-technological (i.e. behavioural) approaches to improving the quality of valuation decisions. We summarise the non-technological approaches and note that much of the discussions on these approaches often appear as recommendations arising from other studies rather than original investigations in their own rights.

We conclude that studies investigating the effectiveness of the non-technological approaches to improving valuation decision-making are lacking, providing various avenues for further research.

This paper presents the first attempt to provide a comprehensive overview of non-technological approaches to improving the quality of valuation decisions.

The aim of this research was to investigate fans’ responses toward a sponsor that has had a long-standing sponsorship deal with a club and decided also to sponsor the club’s rival.

A long-term sponsorship deal between a retsina wine company and a popular football club and a newly established deal between the company and the main rival club were selected as the research setting. Data were collected from a total sample of 302 participants, fans of the two teams, using an online survey and PLS-SEM was employed to test the relationships of the proposed structural model.

The results provided evidence for the importance of the inclusion of perceptions of fit for both teams to the model as it impacted the responses in the joint sponsorship. Team identification emerged significant for improving fans perceptions of fit between the sponsor and their favorite club but also led fans of the long-term sponsored club to feel betrayed from the sponsor. The sense of betrayal impacted the level of fit, the rejection of sponsorship but did not emerge significant for driving negative responses toward the sponsor’s brand. The same held for the rejection of the joint sponsorship.

This is the very first study that incorporated the effects of the perceptions of fit of two rival clubs to test the effect of sponsorship for a sponsor brand of a deal that includes a longtime sponsored football club and its rival as a newly sponsored one. It is also one of the first attempts that explores relationships between perceptions of fit, sense of betrayal and rejection of a joint sport sponsorship in a rivalry context, highlighting the importance of preventing fans' betrayal.

This study used phenomenological narrative methodology to get insights into lived experiences of 10 Asian immigrant woman scholars in science, technology, engineering, and mathematics (STEM) in US institutions of higher learning. A feminist research approach overall guided the study. The concepts and theories of intersectionality, cultures of the academy, mindset, and mind tools framed the examination of the impacts of gender and work–family–community environments on the career pipeline of this group of women. The data were from two sources: (1) 48 documents on the participants and their institutions and (2) in-depth semi-structured interviews with these 10 participants. The findings show that gender and environment impacted the Asian women scholars’ career pipeline and advancement differently. On the negative side, barriers separately or jointly rooted in gender-based, racial, and hierarchical biases at stages of their career pipeline, from professional education to faculty appointment and leadership, challenged them. On the positive side, other gender-based and environmental agents and interventions supported them to overcome obstacles to their upward career mobility. This chapter has implications for how higher education institutions can improve their gender-based and environmental policies and praxis and facilitate the advancement of Asian immigrant women in STEM. It also has implications for how Asian women can prepare themselves to be successful in academic STEM careers.

Environmental degradation resulting from human activities may adversely affect human health in multiple ways. Until now, policies aimed at mitigating environmental problems such as climate change, environmental pollution and damage to biodiversity have failed to clearly identify and drive the potential benefits of these policies on health. The conducted study assesses and demonstrates how specific environmental policies and instruments influence perceived human health in order to ensure input for a data-driven decision process.

The study was conducted for the 2004–2020 period in European Union (EU) countries with the use of dynamic panel data modeling. Verification of specific policies' impact on dependent variables allows to indicate this their effectiveness and importance. As a result of the computed dynamic panel data models, it has been confirmed that a number of significant and meaningful relationships between the self-perceived health index and environmental variables can be identified.

There is a strong positive impact of environmental taxation on the health index, and the strength of this relationship causes effects to be observed in the very short term, even the following year. In addition, the development of renewable energy sources (RES) and the elimination of fossil fuels from the energy mix exert positive, although milder, effects on health. The reduction of ammonia emissions from agriculture and reducing noise pollution are other health-supporting factors that have been shown to be statistically valid. Results allow to identify the most efficient policies in the analyzed area in order to introduce those with the best results or a mix of such measures.

The results of the authors' research clearly indicate the health benefits of measures primarily aimed at improving environmental factors, such as environmental taxes in general. The authors have also discovered an unexpected negative impact of an increase in the share of energy taxes in total taxes on the health index. The presented study opens several possibilities for further investigation, especially in the context of the rapidly changing geopolitical environment and global efforts to respond to environmental and health challenges. The authors believe that the outcome of the authors' study may provide new arguments to policymakers pursuing solutions that are not always easily acceptable by the public.

The New Zealand city of Christchurch provides a leading example of post-disaster rebuilding in a Central Business District (CBD) area. In its rebuilding programme, the city has given emphasis to the greening of hospitality and traditional retail space through a combination of development of shared pedestrian spaces (with traffic exclusion and calming) and the integration of greening within the streetscape design. This paper aims to assess whether the development of greened pedestrian areas leads to higher retail spending and, thus, retail rental rates.

This study uses pedestrian movement data collected from several CBD locations, as well as spending data on retail and hospitality, to assess relationships between pedestrian movements and spending. This study explores retail spending in greened pedestrian shared spaces, and explores how this differs from retail spending in traditional street areas within the Christchurch CBD.

Spending patterns are location-related, depending on the characteristics of pedestrian space in the selected area. Greened shared pedestrian areas have the highest spending per measured pedestrian for retail and hospitality, whereas traditional street areas have lower spending for retail and hospitality per measured pedestrian, demonstrating the benefits in redeveloped central city areas.

The scope of smart data continues to develop as a research area within urban studies to develop an open and connected city. This research demonstrates the use of innovative technologies for data collection, use and sharing. The results support commercial benefits of greening and pedestrianisation of retail and hospitality areas for CBDs and providing an example for other cities to follow.

Little attention has been given to the effects of returnee entrepreneurs on external and internal corporate social responsibility (CSR). This study aims to investigate whether returnee entrepreneurs engage in more external or internal CSR and to further explore the contingency effects of foreign market embeddedness and local government endorsement.

This study uses 11,967 startups in China to examine the relationship between returnee entrepreneurs and external and internal CSR. The authors use an ordinary least square regression and propensity scoring matching approach to analyze the data.

The empirical results show that returnee entrepreneurs are more likely to undertake external CSR but less likely to undertake internal CSR. Foreign market embeddedness and local government endorsement have opposite moderating effects on these relationships.

This study has important implications for returnee entrepreneurs’ strategic choice between external and internal CSR and also provides theoretical support for policymakers to make effective and enforceable CSR policies.

This study discusses how returnee entrepreneurs implement external or internal CSR in China, answering the call to distinguish between external and internal CSR. Drawing on a legitimacy perspective, the authors find interesting and seemingly counterintuitive effects of returnees on external and internal CSR, which also necessitates distinguishing between these two types of CSR. In addition, the authors find different moderating roles of foreign market embeddedness and local government endorsement.

This work examines the impact of institutional agricultural credit on crop productivity of some major crops such as paddy, cotton, wheat and pulses for small and marginal farmers across various social groups.

The cross-sectional field data on socio economic variables was collected from three Indian states from about 400 small and marginal farmers across various social groups using multi-stage stratified random and purposive sampling through a structured questionnaire by interviewing. The method of propensity score matching (PSM) was employed to calculate average treatment effect (ATE) and average treatment effect on the treated (ATET) by categorising sample farmers as treatment group and control group where crop productivity was considered as outcome variable and access to institutional credit was considered as treatment variable.

The PSM estimates reveal that ATE and ATET for all the selected crops are found to be significantly higher for the treated group vis-à-vis non-treated group suggesting that institutional agricultural credit has a statistically and significant positive impact on the crop productivity.

Similar study can be extended for more crops and across regions in India for a universal coverage.

The agricultural credit policy of India has been to increase the access and availability of institutional farm credit. This has led to in general increase in the flow of formal farm credit to agricultural sector. However, the impact of institutional credit and crop productivity especially for small and marginal farmers across social groups is not well recognized in India using field data. Accordingly, this field data study contributes to the existing research by providing fresh evidence from field across social groups for both kharif and rabi crops using recent survey data from small and marginal farmers which has important policy implications.

Digital transformation (DT) has created a number of significant opportunities and related alterations in consumers' behaviours. However, consumers differ in adopting DT. There is still a need to investigate consumer's capabilities and his/her perception of other customers that supports or hinders the DT process. This study aims to investigate human thinking capabilities (critical thinking, holistic thinking and creative thinking) as drivers of two specific types of outcomes: DT barriers and/or DT nurture. In addition, this research also examines the linkage between human capabilities (three types of thinking) and other customers' perception. Finally, it postulates that other customers' perception drives DT barriers and/or DT nurture.

Applying to the public, private and international banking sectors, 273 questionnaires were collected. The collected data was analysed using AMOS as well as the PROCESS macro.

The results showed that human thinking capabilities have different effects on DT barriers and nurture. While critical thinking has a significant effect on DT barriers, both holistic thinking and creative thinking have a significant effect on DT nurture. Other customers' perception construct has a significant effect on both DT barriers and nurture. In addition, only holistic thinking has an effect on other customers' perception.

This study advances knowledge in three ways. Firstly, it examined DT barriers and nurture as variables from the customer's perspective. Secondly, it examined each human thinking capability on DT barriers and nurture, giving more insights. Thirdly, it studied human thinking capabilities as one of the main factors that might affect other customers' perception and DT barriers and nurture, while most previous studies focused only on other customers' perception's impact on DT barriers and nurture.

An effective business model (BM) is essential for the success of any company, with sustainable innovation being a critical component of this model. This entails finding creative ways to meet present needs without compromising future generations. In this regard, cooperation can be crucial in developing sustainable innovation. This paper investigates how different types of cooperation impact the development of small and medium-sized enterprises (SMEs) innovation for environmental sustainability. In this sense, it intends to compare the effects of cooperation acquired nationally or at a European level.

The methods used are logistic regression for the sample of 87,374 observations from 14 countries of the Eurostat Community Innovation Survey (CIS) database.

The results confirm that cooperation with national or European agents significantly impacts the innovation for environmental sustainability of SMEs; however, not all cooperations have the same significance level. At a national level, cooperation with the suppliers of equipment, materials, components or software, clients or customers and universities or other higher education institutes impacts the innovations for environmental sustainability developed by SMEs. At a European level, cooperation established with other enterprises within your enterprise group, equipment, materials, components or software suppliers, clients or customers and government, public or private research institutes significantly impacts innovations for environmental sustainability.

This study also provides substantial theoretical contributions on the subject and more information about the importance of cooperation by SMEs in developing innovation for environmental sustainability.

This study aims to examine the association between community engagement, community commitment and sustainability of public–private partnership (PPP) projects in Uganda.

This study adopted a cross-sectional and quantitative approach. Data were collected using a questionnaire from 42 PPP projects in Uganda.

The study found that community engagement and commitment are all positively and significantly associated with the sustainability of PPP projects in Uganda. Results also show that community commitment mediates community engagement and project sustainability.

The study results imply that for sustainability to be achieved, communities must be engaged in project activities such as planning, design and implementation to boost their commitment to project sustainability.

The sustainability of PPP projects is an emerging phenomenon. This paper contributes to scanty literature on ensuring the sustainability of PPP projects from a developing country’s perspective.