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This paper aims to explore the potential utility of Identity Structure Analysis (ISA) in single-case and group-level outcome and process evaluations.

A study was conducted to evaluate mentalization-based therapy by using ISA and its linked framework software, Ipseus. Ten patients with borderline personality disorder and substance use disorder were involved in the study. ISA/Ipseus was administered prior to and at the completion of the treatment. Five-year follow-up data, comprising behavioural indicators, were also collected and compared to ISA/Ipseus results.

Improvements occurred in the evaluation of stressful, demanding and emotionally burdening situations. Evaluations on concerned others also improved, together with progress in self-reflection. Changes in the evaluation of recovery-related themes were less salient. On a case level, changes in the self-states and role models were consistent with the results of the five-year-follow up data. An initial crisis state seems suggestive of progress, while initial defensive positions with high positive self-regard, of stagnation.

ISA/Ipseus, integrating the benefits of qualitative and quantitative approaches in evaluation, is a potential method to explore the complexity of identity changes during therapy.

The purpose of this study is to examine herd behaviour under different market conditions, examine the potential impact of the firm size and stock characteristics on this relationship, and explore how herding affects market prices in the German market.

The authors apply a method that does not rely on theoretical models, thus eliminating the biases inherent in their application. This technique is based on the assumption that macro herding manifests itself in the synchronicity (comovement) of stock returns.

The study’s findings show that herding is more pronounced in down markets and is more pronounced when market returns reach extreme levels. Additionally, the authors have found that there is stronger herding among large companies compared to small companies, and that stock characteristics considered have no effect on the degree of macro herding. Results also suggest that the contemporaneous market-wide information drives macro herding and that macro herding facilitates the incorporation of market-wide information into prices.

The study’s results strongly support the idea of directional asymmetry, which holds that stocks react quickly to negative macroeconomic news while small stocks react slowly to positive macroeconomic news. Additionally, the study’s results suggest that the contemporaneous market-wide information drives macro herding and that macro herding facilitates the rapid incorporation of market-wide information into prices.

To the best of the researchers’ knowledge, this is the first study that examines macro herding for a major financial market using a herding measure based on the co-movement of returns that does not rely on theoretical models.

Drawing upon the consistency literature, the theory of visual rhetoric and social judgment of warmth and competence, this study examines the determinants and impacts of perceived interface design consistency in the context of charity websites.

To identify design factors of perceived interface design consistency, this study separates charity website interface design into two aspects: main appeal design (i.e. appeal quality) and peripheral design (i.e. image type). The authors designed a two (appeal quality: low vs high) × three (image type: control vs adults vs children) controlled lab experiment to investigate the effects of various interface choices. A total of 217 subjects participated in the experiment. The authors used structural equation model (SEM) analysis and analysis of covariance (ANCOVA) to test the research hypotheses.

This study found that appeal quality and human images increase perceived interface design consistency. The authors also found that the relationship between appeal quality and perceived interface design consistency is moderated by image type. Finally, the authors showed that perceived interface design consistency increases perceived warmth and competence of charity websites, which in turn affect intention to use the website for donations.

The authors’ findings provide novel insights for theory on consistency and interface design and practical implications for charity website designers by identifying determinants and consequences of perceived interface design consistency.

This study explored the role that Instagram, a prominent social media platform, plays in the consumer decision-making process of young adults (age 18–27 years) in the United States as they shop online for apparel and interact with the digital profiles of apparel brands. Specifically, this study compared consumers' purchase and post-purchase evaluation behaviors on Instagram between Millennials and Generation Z, and investigated the role of consumers' trust of Instagram on these behaviors.

A survey instrument was developed to explore critical variables, including consumers' purchase and post-purchase evaluation behaviors on Instagram, consumers' trust of Instagram, and demographic factors, adapting previous works from Ko (2018), Djafarova and Rushworth (2017), and Herrando et al. (2019). Survey responses were collected via the Qualtrics participant panel service (N = 226), then coded and analyzed using JMP Pro (Version 14.2).

Results indicated that statistically significant mean differences were present among several key variables, including between Millennial and Generation Z post-purchase behaviors on Instagram, willingness to share feedback about a brand experience on Instagram, and trust of content on Instagram. Additionally, it was determined that purchase and post-purchase behaviors on Instagram are significantly different depending on whether or not a consumer trusts Instagram and the content therein.

While online consumer behaviors have been previously studied, the impact of young adults' Instagram usage on their purchase and post-purchase evaluation behaviors in the apparel sector had not been thoroughly examined. The findings from this study provide meaningful insights on the purchase and post-purchase behaviors on Instagram of young adult consumers from different generational cohorts. They demonstrate that developing trust with young adults is critical to the success of brands trying to reach this demographic on Instagram.

Freshwater availability is reducing globally, due to increasing demand with population growth and climate change and is disproportionately impacting developing countries. This study aims to investigate the dynamics of water access and consumption across all regions of Thailand with various characteristics and water systems. Understanding the relationship between institutional, economic and climate variables in Thailand’s water management is important for water scarcity planning. Our paper fills a gap in the literature by examining the determinants of water consumption and exploring potential water management policies.

The authors empirically analyze the determinants of water consumption in Thailand, including institutional, economic and climate variables. The authors use data sets from both metropolitan and provincial waterworks authorities (PWA), as well as economic and meteorological macro-level data. The authors also adopt an auto-regressive distributed lag (ARDL) model and a Johansen cointegration test to estimate short- and long-run effects of the variables on water consumption.

The authors confirm a negative relationship between water pricing and consumption and verify a positive relationship between economic growth and water consumption across most regions of Thailand. Furthermore, the authors reveal a clear relationship between climate factors and water consumption and an inverse relationship between income and water consumption in metropolitan area. Findings indicate that authorities, especially PWA, should examine high water use in agriculture and develop regulations to ensure equitable water distribution to sustain economic growth. The authors recommend that water prices are increased within specific income thresholds to prevent impacting low-income families and to secure higher public revenue. In pursuit of environmental sustainability, the authors also recommend increasing public awareness of freshwater scarcity through education programs and investment in water-saving technologies. Differences among regions should be considered when developing water management strategies, which could be monitored through the respective water boards.

This study provides deep insight into the key factors that drive both water prices and water consumption in poor and rich areas. The unique nature of the research indicated that the paper will be of interest to policymakers and the academic community. The findings are relevant for water consumption management in Thailand and other developing countries with similar characteristics.

This study aims to model tourist activities in a network and explore the properties of the network. Such network enables the author to explain and quantify how tourist activities are connected in determining tourist consumption as well as the organization of destination supply.

The author developed a network formation mechanism to create edges between nodes based on the joint probability of a pair of activities undertaken by tourists at a destination. By adjusting network sparsity, the author created an ensemble of four topologically similar networks for empirical testing. The author used tourist activity data of Hong Kong inbound tourists to test the network model.

The author found a robust hub–periphery topological structure of the tourist activity network. In addition, the network is featured by high clustering, short diameter and positive correlations between four node centralities, namely, degree, closeness, betweenness and eigenvector centralities. The author also generated the k-cores of the networks to further unravel the structure of hub nodes. The author found that the k-cores are dominated by tourist activities related to shopping or sightseeing, suggesting the high complementarity of these activities.

This study provides a different lens through which tourist consumption can be understood from a macroscopic angle by examining network topology and from a microscopic angle by examining node centralities.

To the best of the author’s knowledge, this is the first study attempting to model tourist activity and consumption in a network and explore the properties of the network. Not only has this study provided a new real-world network for network research, but it has also suggested an innovative modeling approach for tourist behavior research.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

A study explored whether the Big Five personality traits and their affective, behavioral, cognitive and desire components (ABCD) components were relevant to authentic self-development (ASD) through workplace coaching. The authors assessed the personalities of 176 clients both before and after they worked with coaches. Results showed higher levels of mean AB mediated associations between personality and perceived competence and goal commitment, Personality predicted goal self-concordance, but these effects were not mediated by AB. Meanwhile, neither personality nor AB predicted goal stability.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Currently, the vision and depth information obtained from the eye-to-hand RGB-D camera can apply to the reconstruction of the three-dimensional (3D) environment for a robotic operation workspace. The reconstructed 3D space contributes to a symmetrical and equal observation view for robots and humans, which can be considered a digital twin (DT) environment. The purpose of this study is to enhance the robot skill in the physical workspace, although the artificial intelligence (AI) technique has high performance of the robotic operation in the known environments.

A multimodal interaction framework is proposed in DT operation environments.

A fast image-based target segmentation technique is combined in the 3D reconstruction of the robotic operation environment from the eye-to-hand camera, thus expediting the 3D DT environment generation without accuracy loss. A multimodal interaction interface is integrated into the DT environment.

The users are supported to operate the virtual objects in the DT environment using speech, mouse and keyboard simultaneously. The humans’ operations in 3D DT virtual space are recorded, and cues are provided for the robot’s operations in practice.

This paper deals with types and actors of entrepreneurship in and around academia in Russia, as well as with institutional settings of the entrepreneurial activity of academic faculty.

This paper is based on a series of semi-structured interviews using the purposive snowball method (2022–2023). The respondents are either engaged in different kinds of entrepreneurship in and outside universities in Moscow and Nizhny Novgorod or experts in entrepreneurship in and around academia.

A double mixed embeddedness driven approach to the typology of diverse forms of entrepreneurship in and around academia are shown in the context of the temporality as well as of the micro-, meso- and macro-level institutions, such as the low demand in innovations in the economy; uncertainty of property rights; limited interest of university administration in academic entrepreneurs or its focus solely on students' entrepreneurship; and necessity entrepreneurship motives on the micro-level. The research limitations of the study are the small number of observations and the localisation of the panel in only one country.

The research limitations of the study are the small number of observations and the localisation of the panel in only one country.

The “Special Military Operation” and its consequences would hinder bottom-up academic entrepreneurship in the country, while pushing universities to launch R&D with the big industry, and forcing many faculties to non-academic entrepreneurship.

For the first time, the broad variety of entrepreneurial activities of academic staff including the specifics of non-classical forms of entrepreneurship in and around academia and their embeddedness into different contexts are discussed.