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The city of Quito is a World Heritage Site (WHS) in Ecuador and the city owns one of the best-preserved and extensive historic centers in Latin America for cultural tourism. This study aims to identify the factors that constitute perceived value construct at the WHS of Quito.

This research collects data from tourists who have visited the city of Quito, Ecuador. A total of 381 on-site questionnaires are used. Data have been analyzed using exploratory factorial analysis.

Results regarding the dimensional structural framework of perceived value indicate that perceived value at the WHS of Quito has five factors: (1) monetary and non-monetary costs (MNC), (2) staff service quality (SSQ), (3) tourist offer accessibility (TOA), (4) destination attractiveness (DA) and (5) information accessibility (IA).

Two new factors of accessibility have been proposed in this study for measuring consumer value at a WHS. Perceived value and accessibility have been treated as two separate subjects in academic literature before. However, this article contributes to the understanding of perceived value at WHS, including factors linked to accessibility. Both managerial and theoretical implications for WHS are discussed.

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.

This paper aims to propose a lightweight, high-accuracy object detection model designed to enhance seam tracking quality under strong arcs and splashes condition. Simultaneously, the model aims to reduce computational costs.

The lightweight model is constructed based on Single Shot Multibox Detector (SSD). First, a neural architecture search method based on meta-learning and genetic algorithm is introduced to optimize pruning strategy, reducing human intervention and improving efficiency. Additionally, the Alternating Direction Method of Multipliers (ADMM) is used to perform structural pruning on SSD, effectively compressing the model with minimal loss of accuracy.

Compared to state-of-the-art models, this method better balances feature extraction accuracy and inference speed. Furthermore, seam tracking experiments on this welding robot experimental platform demonstrate that the proposed method exhibits excellent accuracy and robustness in practical applications.

This paper presents an innovative approach that combines ADMM structural pruning and meta-learning-based neural architecture search to significantly enhance the efficiency and performance of the SSD network. This method reduces computational cost while ensuring high detection accuracy, providing a reliable solution for welding robot laser vision systems in practical applications.

This study aims to contribute to the ongoing assessment of executive compensation by investigating the nexus between managerial entrenchment factors, adopting a multifaceted perspective encompassing both economic and non-economic dimensions.

This research employs pooled cross-sectional Ordinary Least Squares (OLS) regression and Least Squares with Dummy Variables (LSDV) models with fixed effects to examine the determinants of Chief Executive Officer (CEO) compensation.

This research identifies firm size, performance (via ROA and Tobin’s Q), and CEO characteristics (age, tenure, stock ownership, MBA degree) as significant determinants of executive compensation at the 0.05 level. In contrast, the prestige of educational institutions, doctoral degrees, and the MBA’s relevance to short-term performance, along with CEO tenure, do not significantly affect pay. Additionally, the study highlights the significance of industry type (manufacturing vs technology) in shaping compensation, emphasizing the role of firm metrics and CEO credentials in designing executive pay packages.

This research introduces an innovative approach to controlling unobserved heterogeneity and adjusting for the dynamic nature of CEO compensation attributes across diverse CEO characteristics. By integrating both pooled Ordinary Least Squares (OLS) and Least Squares Dummy Variable (LSDV) models, the study addresses the challenges posed by time-invariant variables and unobservable heterogeneity. Such issues have historically skewed the accuracy of traditional OLS models in identifying the comprehensive array of factors—both economic and non-economic—that influence CEO compensation. This novel methodological framework significantly advances the examination of unobservable variables that may vary not only across the firms selected for analysis but also over time periods, thereby offering a more detailed understanding of the determinants of CEO pay.

This study explores key dimensions of mobile commerce activities (MCAs), evaluates their impact on firm performance and examines the role of mobile commerce performance as a mediator and the role of industry competitive intensity as a moderator.

The qualitative research identified 21 principal retailers’ MCAs. A survey involving 172 retail executives was then conducted to examine the structure of MCAs and their impacts on firm performance.

Our findings reveal that the MCAs comprise four dimensions: guidance, connection, in-store conversion and relation. These dimensions jointly impact firm performance through mobile commerce performance, moderated by industry competition.

This study provides a foundational understanding of MCAs. Future research should continue to explore how these dimensions interact.

Retailers can enhance their management of MCA investments by focussing on four key areas: guidance, contact, in-store conversion and relation. By customizing activities and prioritizing those that strengthen customer relationship management within one area, retailers can effectively align their MCA strategies with their specific business context.

The study’s originality lies in identifying and empirically testing the dimensionality of MCAs, emphasizing the role of customer-centric mobile performance and expanding the understanding of MCA value creation.

This scoping review article examined research on information behavior in communities over the past two decades (2000–2023). The review aims to uncover the characteristics and types of communities studied, the featured information behaviors, and the research methods employed.

The PRISMA-ScR guidelines were followed to conduct this review. Five databases were selected to search for relevant empirical research. A total of 57 studies met the inclusion criteria for review. Thematic synthesis was used to analyze the multidimensional findings of included studies.

A steady increase in the number of articles is evident in the past two decades. The review suggests that information behavior in community studies involved collaboration from other disciplines, such as public health and business management. More than half of the communities studied are virtual communities (56.1%), followed by communities of identity, professional communities and support communities, communities of interest, geographic communities, and academic communities. There are overlaps among these categories. Information sharing (63.2%) and information seeking (57.9%) were the most studied behavior of communities, followed by information use, information needs, and information judgment. Questionnaires (38.6%) and interviews (35.1%) were the most commonly used data collection techniques in studying information behavior in communities. It is noteworthy that eleven (19.3%) mentioned utilizing community-engaged approaches.

This is the first scoping review to explore the intersecting constructs of community research and information behavior studies. We call for further research to understand the contextual factors that shape the community’s information environments and to increase awareness of the partnership between communities and researchers.

The purpose of this study is to investigate the influence of Corporate Social Responsibility (CSR) on the sustainability of Central European SMEs by emphasizing the role of innovation as a mediator and social media as a moderator.

A questionnaire is developed, and primary data is collected from four Central European countries. Partial Least Squares Structural Equation Modelling is used to analyse data from over 1,500 SMEs operating in Visegrad countries.

Our findings reveal a significant and positive association between CSR and business sustainability. Furthermore, it is identified that innovation serves as a mediator in the CSR–business sustainability link in two of the examined countries. Additionally, the moderating effect of social media is observed in Hungary, indicating that the impact of CSR and innovation on business sustainability varies by country context.

While offering valuable insights, the study's generalizability to other regions necessitates further exploration. Additionally, the research focuses on specific mediating and moderating factors, leaving room for the investigation of other potential influences.

This study emphasises the need to integrate CSR practices and promoting innovation to improve business sustainability for SMEs in Central Europe. Recognising social media's moderating influence may help firms adjust their CSR strategies to reflect the preferences and behaviours of their target consumers.

Promoting CSR in SMEs can encourage social well-being, including community development and environmental sustainability.

This research contributes fresh insights into the interplay of CSR, innovation and social media within Central European SMEs. It underscores the importance of considering regional nuances when analysing these dynamics.

This paper aims to address what it means to brand a city as “smart”. In other words, what ideas, understandings and actions are mobilized by the discourse of smart cities in a particular context.

Taking a brand interpretive approach, this paper uses deconstructive criticism to understand the performativity of smart cities within the Brazilian Charter for Smart Cities and to expose hegemonic power structures and the various colonizations that disenfranchise consumers and citizens of the Global South.

This paper finds that the branding of smart cities within the Brazilian Charter for Smart Cities is largely performative and rhetorical in nature. The authors identify those dimensions of the smart city that are materialized by this branding performance. For example, the authors identify how the Charter calls forth issues around technological solutionism, sustainability and social inclusion. At the same time, the analysis draws attention to the dimensions of smart cities that are disguised by such performances.

The implications of the work suggest that the authors need to understand the designation “smart city” as a branding performance. More research is required in context to determine in exactly what ways smart city projects are being implemented.

Rather than adhering only to the rhetoric of smartness, cities have to work hard to make smartness a reality – a smartness constructed not just on technical solutions but also on human solutions. That is, the complexity of urban issues that are apparently addressed in the move to smartness demand more than a technological fix.

The research offers a novel lens through which to view smart cities.

Foreign subsidiaries of multinational enterprises (MNEs) operate in complex and competitive international environments, implement market and non-market strategies, manage resources and value-added activities and contribute to the overall performance of their parent firms. Thus, the research question on the determinants of MNE foreign subsidiaries’ performance is of interest to managers and academic researchers. The empirical literature has flourished over the recent decades; however, the domains are fragmented, and the findings are inclusive. The purpose of this study is to systematically review, analyse and synthesize the empirical articles in this area, identify research gaps and suggest a future research agenda.

This study uses the qualitative content analysis method in reviewing and analysing 150 articles published in 24 scholarly journals during the period 2000–2023.

The literature uses a variety of theoretical perspectives to examine the key determinants of subsidiary performance which can be grouped into six major domains, namely, home- and host country-level factors; distance between home and host countries; the characteristics of parent firms and of subsidiaries; and governance mechanisms (the establishment modes and ownership strategy, subsidiary autonomy and the use of home country expatriates for transferring knowledge from the headquarters and controlling foreign subsidiaries). A range of objective and subjective indicators are used to measure subsidiary performance. Yet, the research shows a lack of broader integration of theories and presents inconsistent theoretical predictions, inconclusive empirical findings and estimation bias, which hinder our understanding of how the determinants independently and jointly shape the performance of foreign subsidiaries.

This study provides a comprehensive, nuanced and systematic review that synthesizes and clarifies the determinants of subsidiary performance, offers deeper insights from both theoretical, methodological and empirical aspects and proposes some promising avenues for future research directions.

The purpose of this study is to offer a checklist that can be used for both creating and evaluating digital collections, which are also sometimes referred to as data sets as part of the collections as data movement, suitable for computational use.

The checklist was built by synthesising and analysing the results of relevant research literature, articles and studies and the issues and needs obtained in an observational study. The checklist was tested and applied both as a tool for assessing a selection of digital collections made available by galleries, libraries, archives and museums (GLAM) institutions as proof of concept and as a supporting tool for creating collections as data.

Over the past few years, there has been a growing interest in making available digital collections published by GLAM organisations for computational use. Based on previous work, the authors defined a methodology to build a checklist for the publication of Collections as data. The authors’ evaluation showed several examples of applications that can be useful to encourage other institutions to publish their digital collections for computational use.

While some work on making available digital collections suitable for computational use exists, giving particular attention to data quality, planning and experimentation, to the best of the authors’ knowledge, none of the work to date provides an easy-to-follow and robust checklist to publish collection data sets in GLAM institutions. This checklist intends to encourage small- and medium-sized institutions to adopt the collection as data principles in daily workflows following best practices and guidelines.