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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.

Technologies are dramatically reshaping various aspects of the store space, modifying design, services and usage. Accordingly, several studies tackled technology impact on each of these aspects, investigating design, service and usage singularly, but lacking a holistic viewpoint. Thus, this paper aims to identify the different dimensions of the store space (levels) and assess the impact of technology introduction on store space dimensions (levels).

The research employs a qualitative approach based on direct observations of apparel brand stores located in London between March and April 2023. Data collection followed a structured observation protocol covering store information, adopted technologies and their effects across various store space levels, i.e. consumption activities, service environment and customer experience.

Results show that the store space can be defined as the sum of different dimensions consisting of consumption activities, service environment and customer experience. Accordingly, technology introduction holistically influences each of the three store space levels as follows: (1) first, technologies redefine how activities are performed or alters the location where certain activities are consumed; (2) within the service environment, technologies replace traditional elements, fill empty spaces and enhance the atmospherics; finally, (3) customer experience is enhanced in hedonic and/or utilitarian terms due to technology adoption.

This paper defines the space as a dynamic entity, providing a deeper understanding of how the store space is produced, from a holistic point of view and the role of retail technology in this process.

The purpose is to have appropriate planning for reducing costs during the procurement process and increasing profits during the sales period in a supply cycle at a retail store. To make the proposed model practical, efforts have been made to implement the existing constraints in a business environment and legal factors.

To achieve the objectives of this research, a mixed-methods approach was employed. Initially, sales data was collected, and industry experts were consulted to identify key products. A mathematical model and a particle swarm optimization algorithm were utilized for simulation and optimization. Furthermore, time series forecasting techniques were employed to estimate demand accurately.

The findings of this research emphasize the importance of considering all factors affecting costs simultaneously when utilizing tools to reduce costs during the planning period. It was observed that certain tools, which individually have a favorable effect on costs, may collectively result in an increase in costs over the examined period. This highlights the need for a comprehensive and integrated approach to planning.

The business environment and legal factors in each country are among the factors that affect the performance of retailers, which has received less attention in previous research. This research aimed to address this gap by considering various factors. However, it is important to note that the proposed model has been investigated in research in hypermarkets and is applicable, but it cannot be generalized to other retailers.

Applicability and consideration of new limitations in simulation along with consideration of the complete process from buying to selling goods.

This paper aims to synthesize the existing literature on virtual reality (VR) in the luxury fashion industry, discuss the current practical applications of VR technologies and review previous research undertaken in the luxury fashion field.

This paper conducts a systematic review and thematic analysis of existing literature to evaluate current research concerning VR and the luxury fashion industry. This search initially returned a total of 1,131 sources. After establishing and applying criteria of exclusion and inclusion, a total of 46 articles were selected for the thematic analysis.

Five major themes were identified, including virtual luxury fashion consumption, VR in marketing communication, virtual try-on, VR retail (including virtual fashion retail spaces) and virtual worlds (including customers’ virtual representation as avatars). The importance of these themes for the study of VR in luxury fashion is supported by relevant studies in the literature.

Whilst research into VR use within luxury fashion has increased recently, it remains fragmented. Given the absence of a comprehensive review addressing this topic within the literature, this paper will help scholars and fashion brands better understand the effects of VR on the luxury fashion industry. By integrating current practice and existing research, this paper contributes to a better understanding of how and where VR is used in luxury fashion contexts.

This research examines the effects of physical proximity (close vs distant) of retailers’ private label brands (PLBs) relative to national brands (NBs) and brand display orientation (horizontal [brands occupy the same shelf] vs vertical [brands occupy different shelves]) on consumers’ PLB quality perceptions and PLB evaluations.

Two experiments involving real brands in different product categories tested the hypotheses.

A PLB positioned close (vs distant) to a NB is evaluated more favorably and this effect is mediated by increased PLB quality perceptions, but only in a horizontal brand display. In a vertical brand display, a PLB positioned close (vs distant) to a NB is evaluated less favorably and this effect is mediated by decreased PLB quality perceptions.

The findings suggest that to enhance consumers’ PLB quality perceptions and evaluations, PLBs be positioned next to (rather than on separate shelves) and close to (rather than distant from) NBs in the same product category.

Although the literature suggests that the best shelf position for PLBs is close to NBs, there is a lack of empirical research on the effects of relative shelf positioning on consumers’ quality perceptions and subsequent PLB evaluations. This research finds that both physical proximity and brand display orientation play an important role.

This study investigates the distribution, integration and practices of university accelerators in higher education institutions of a developing country. Next, this study proposes a pedagogic mode that combines theoretical and experiential learning to enhance higher education institutions’ ability to co-create and deliver an entrepreneurial learning environment for its students, graduates, and academic staff.

This study applied a multi-methods design. The quantitative design collected secondary data of entrepreneurship education programmes and university accelerators by browsing websites of 39 Malaysian higher education institutions in June 2023. The qualitative design collected primary data in the form of narratives of practices of university accelerators and secondary data in the form of descriptions of practices of university accelerators from selected exemplar entrepreneurial universities.

Twenty-five higher education institutions, consisting of 15 public higher education institutions and 10 private higher education institutions, have some form of university accelerator initiatives. However, there is a lack of evidence to suggest integration of entrepreneurship education programmes and university accelerators in Malaysian higher education institutions, with the exception of a few higher education institutions. Lastly, this study found heterogeneity in the characteristics and outcomes of different university accelerators in Malaysian higher education institutions.

This study is exploratory and subjected to the availability and accuracy of published information on the websites and in the reports of Malaysian higher education institutions surveyed.

This study contextualises university accelerators in a developing country where this type of research is scarce and contributes to the body of knowledge by replicating prior empirical analyses.

For over 25 years, the United States Green Building Council (USGBC) has significantly influenced the US sustainable construction through its leadership in energy and environmental design (LEED) certification program. This study aims to delve into how Baton Rouge, Louisiana, fares in green building adoption relative to other US capital cities and regions.

The study leverages statistical and geospatial analyses of data sourced from the USGBC, among other databases. It scrutinizes Baton Rouge’s LEED criteria performance using the mean percent weighted criteria to pinpoint the LEED criteria most readily achieved. Moreover, unique metrics, such as the certified green building per capita (CGBC), were formulated to facilitate a comparative analysis of green building adoption across various regions.

Baton Rouge’s CGBC stands at 0.31% (C+), markedly trailing behind the frontrunner, Santa Fe, New Mexico, leading at 3.89% (A+) and in LEED building per capita too. Despite the notable concentration of certified green buildings (CGBs) within Baton Rouge, the city’s green building development appears to be in its infancy. Innovation and design was identified as the most attainable LEED benchmark in Baton Rouge. Additionally, socioeconomic factors, including education and income per capita, were associated with a mild to moderate positive correlation (0.25 = r = 0.36) with the adoption of green building practices across the capitals, while sociocultural infrastructure exhibited a strong positive correlation (r = 0.99).

This study is beneficial to policymakers, urban planners and developers for sustainable urban development and a reference point for subsequent postoccupancy evaluations of CGBs in Baton Rouge and beyond.

This study pioneers the comprehensive analysis of green building adoption rates and probable influencing factors in capital cities in the contiguous US using distinct metrics.

The retail investment landscape in the UK has drastically changed. Understanding owners’ responses to this structural change is critical to gain insight into protecting investment performance. This paper identifies and evaluates the tactics and strategies being adopted.

This paper employs a mixed methods research approach, using data collected from semi-structured interviews with professionals involved in the retail investment process. This is supplemented by secondary market data analysis.

The paper assesses the practical responses made by retail property owners/managers, structured around emerging sub-themes. Actions include mitigating short-term risks through greater use of temporary tenants/licensees and independent retailers, preparing generic “white box” retail space to capture remaining tenant demand, exploiting the tenant mix to provide “the retail experience,” and applying new technologies and processes in a sector where systematic risk remains high. A new framework for retail asset management has been developed.

This study contributes to the retail asset management literature and understanding of the way the contemporary retail landscape is shaping investment management behaviour.

The developed framework provides guidance to real estate managers developing a retail real estate management strategy and will help them recognise tactics to better support the evolving retailing market.

The new framework adds new insights to understanding the process for managing retail assets and the actions necessary for asset managers to address economic/functional obsolescence and sustain asset investment values.

In this context, the aim of the present research is to examine what factors determine that consumers restrain from shopping used products through the Internet. So, this research aims to analyze what makes consumers prevent from shopping second-hand products online.

For this purpose, the authors propose and empirically test a conceptual model of the barriers towards online second-hand shopping behavior. Drawing on a sample of 405 consumers data were analyzed through structural equation modeling (SEM).

The findings reveal that contamination effects and the lack of trust towards the online store, followed by the low perceived product reliability and the poor product perceived quality prevent consumers from shopping used products online. Conversely, consumer embarrassment for shopping second-hand products and the purchase uncertainty do not influence consumers' second-hand shopping behavior.

This study contributes to the marketing literature on second-hand shopping, being an attempt to explore the factors that prevent consumers from purchasing used products through the Internet.

This study aims to identify the major factors influencing the consumers to prefer milk products and also to analyze the awareness level of the Indian consumers.

In this study, the data is obtained through a structured questionnaire from Indian consumers considering convenience sampling under the nonprobability sampling technique. The consumer preference is explained using a multiple-regression model followed by analysis of variance (ANOVA), which shed insight on the significant differences between the variables that influence consumer preference for dairy products.

Investigation is done to analyze the factors influencing the consumers' buying behavior toward milk and its products. The results showed that quality, health consciousness, price and availability are the most influencing factors to buy milk products. Quantity of milk showed a significant relationship between age, monthly income and family size.

This study helps marketing managers to frame the marketing strategies based on consumer preference, quality, health consciousness, price and availability. The research outcome will not only be advantageous for the entrepreneurial perspective but also takes care of consumer likeliness. Though the research reveals the opinion of Indian consumers, it limits the likeliness of the western world. Because of the scarcity of resources, several dairy products are unexplored, which could pave the future scope of research.

The novelty of this study is to identify the quality, health consciousness, price and availability are the most influencing factors to buy milk products considering ANOVA and the multiple regression model.