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1 – 10 of 133Juan Pedro Mellinas, Jacques Bulchand-Gidumal and María-del-Carmen Alarcón-del-Amo
This paper aims to classify tourist accommodation using data from Booking.com and TripAdvisor and analyse the extent to which the different segments identified differ in terms of…
Abstract
Purpose
This paper aims to classify tourist accommodation using data from Booking.com and TripAdvisor and analyse the extent to which the different segments identified differ in terms of being adults-only.
Design/methodology/approach
In total, 1,535 properties located in nine Spanish sun and beach destinations were examined using a latent class cluster analysis (LCCA). The bias-adjusted three-step approach was used to investigate the differences between belonging to adults-only accommodation or not among the identified clusters.
Findings
Results show that adults-only accommodation tends to belong to the cluster with higher online ratings. In small Spanish islands, adults-only hotels account for a large share (more than 25%) of hotels.
Research limitations/implications
It was not possible to analyse whether the higher rating was due to the accommodation being better or due to the tourists being more satisfied with their stay.
Practical implications
In urban destinations, the model is not widely used. However, in coastal destinations, it is becoming more than a novelty or a new trend.
Social implications
In small Spanish islands, people traveling with children are becoming a minority. Families may feel discriminated against and express dissatisfaction with this situation in the future.
Originality/value
This study covers the gap in the academic literature on this growing hotel segment.
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Wonjun Choi, Wooyoung (William) Jang, Hyunseok Song, Min Jung Kim, Wonju Lee and Kevin K. Byon
This study aimed to identify subgroups of esports players based on their gaming behavior patterns across game genres and compare self-efficacy, social efficacy, loneliness and…
Abstract
Purpose
This study aimed to identify subgroups of esports players based on their gaming behavior patterns across game genres and compare self-efficacy, social efficacy, loneliness and three dimensions of quality of life between these subgroups.
Design/methodology/approach
324 participants were recruited from prolific academic to complete an online survey. We employed latent profile analysis (LPA) to identify subgroups of esports players based on their behavioral patterns across genres. Additionally, a one-way multivariate analysis of covariance (MANCOVA) was conducted to test the association between cluster memberships and development and well-being outcomes, controlling for age and gender as covariates.
Findings
LPA analysis identified five clusters (two single-genre gamer groups, two multigenre gamer groups and one all-genre gamer group). Univariate analyses indicated the significant effect of the clusters on social efficacy, psychological health and social health. Pairwise comparisons highlighted the salience of the physical enactment-plus-sport simulation genre group in these outcomes.
Originality/value
This study contributes to the understanding of the development and well-being benefits experienced by various esports consumers, as well as the role of specific gameplay in facilitating targeted outcomes among these consumer groups.
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Andreas Schwarz and Audra Diers-Lawson
This study aims to contribute to strategic crisis communication research by exploring international media representations of third sector crises and crisis response; expanding the…
Abstract
Purpose
This study aims to contribute to strategic crisis communication research by exploring international media representations of third sector crises and crisis response; expanding the range of crisis types beyond transgressions; and developing a framework that integrates framing and crisis communication theory.
Design/methodology/approach
Quantitative content analysis was applied to identify patterns in crisis reporting of 18 news media outlets in Canada, Germany, India, Switzerland, UK and US. Using an inductive framing approach, crisis coverage of nonprofit organizations (NPOs) and intergovernmental organizations (IGOs) between 2015 and 2018 was analyzed across a wide range of crises, including but not limited to prominent cases such as Oxfam, Kids Company, or the Islamic Research Foundation.
Findings
The news media in six countries report more internal crises in the third sector than external crises. The most frequent crisis types were fraud and corruption, sexual violence/personal exploitation and attacks on organizations. Exploratory factor analysis revealed three components of crisis response strategies quoted in the media, conditional rebuild, defensive and justified denial strategies. Causal attributions and conditional rebuild strategies significantly influenced media evaluations of organizational crisis response. Three frames of third sector crises were detected; the critique, the damage and the victim frame. These frames emphasize different crisis types, causes, crisis response strategies and evaluations of crisis response.
Originality/value
The study reveals the particularities of crises and crisis communication in the third sector and identifies factors that influence mediated portrayals of crises and crisis response strategies of nonprofit organizations (NPOs) from an international comparative perspective. The findings have relevant implications for crisis communication theory and practice.
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Marija Bratić, Adam B. Carmer, Miroslav D. Vujičić, Sanja Kovačić, Uglješa Stankov, Dejan Masliković, Rajko Bujković, Danijel Nikolić, Dino Mujkić and Danijela Ćirirć Lalić
Understanding the multifaceted images of tourism destinations is critical for effective destination marketing and management strategies. Traditional approaches, including…
Abstract
Purpose
Understanding the multifaceted images of tourism destinations is critical for effective destination marketing and management strategies. Traditional approaches, including conceptualization of destination images or analysis of their antecedents and consequences, are commonly used. This study aims to advocate the inclusion of visitors’ latent profiles based on cognitive images to enrich the evaluation and formulation of destination marketing and management strategies.
Design/methodology/approach
The analysis focuses on Serbia, an emerging destination, that attracts an increasing number of first-time, repeat and prospective visitors. Exploratory factor analysis and confirmatory factor analysis were used to test the potential dimensions (tangible and intangible cultural destination; infrastructural and accessible destination; active, nature and family destination; sensory and hospitable destination; and welcoming, value for money (VFM) and safe destination) of the cognitive destination image factors scale while subtypes (profiles) were obtained using latent profile analysis (LPA).
Findings
The cognitive image component encompasses the perceived attributes of a destination, whether derived from direct experience or acquired through other means. The study identified the following profiles: conventional destination; sensory and hospitable destination; welcoming, VFM and safe destination; secure and active family destination and accessible cultural destination, which are presented individually with their sociodemographic assets.
Originality/value
The main contribution of the paper is the application of a novel method (LPA) for profiling visitor segments based on cognitive destination image. From a theoretical perspective, this research contributes to the extant body of literature pertaining to the destination image, thereby facilitating the identification of discrete latent visitor segments and elucidating noteworthy differences among them concerning a cognitive image.
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Kyung Hee Park, He Li and Chang Liu
As university faculty faced new challenges, such as rapid digital social and the coronavirus disease 2019 (COVID-19) response, this study aimed to identify the daily changes in…
Abstract
Purpose
As university faculty faced new challenges, such as rapid digital social and the coronavirus disease 2019 (COVID-19) response, this study aimed to identify the daily changes in the interaction between the faculty and the organizational environment (colleague, policy and new issue) by exploring their recent dynamic educational efforts and the professional development.
Design/methodology/approach
This is a study wherein perceptions of 20 faculty from 15 universities and colleges were collected through in-depth online interviews. The authors analyzed interview data by arranging and visualizing the analyzed data using network clustering. Further, they applied the Latent Dirichlet allocation of the topic modeling to monitor the appropriate number of clusters, ultimately determined as four clusters using partial clustering.
Findings
The results showed that university faculty spontaneously tried to solve the problems through informal learning while the commitment to peer learning was deepening, reflecting the collectivist orientation nature of Chinese culture. Besides, the faculty also required support to reflect on their daily efforts for professional development. These results about their various learning routines prove the justification for the faculty's professional development to be discussed from the “learning by doing” perspective of lifelong learning.
Originality/value
This study proved the significance of informal learning for university faculty's professional development and the reasonable value of peer learning, and provided insights into how the Chinese context may influence university faculty's informal learning experience.
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The rising number of food recalls has raised concerns about complexity, globalization and weak governance in the food supply chain. This paper aims to investigate the recall of…
Abstract
Purpose
The rising number of food recalls has raised concerns about complexity, globalization and weak governance in the food supply chain. This paper aims to investigate the recall of plant-based products with data from the US Food and Drug Administration.
Design/methodology/approach
Introducing the structural topic modeling method allowed us to test theories on recall in the context of sustainable food consumption, enhancing the understanding of food recall processes. This approach helps identify latent topics of product recalls and their interwoven relationships with various stakeholders.
Findings
The results answer a standing research call for empirical investigation in a nascent food industry to identify stakeholders’ engagements for food safety crisis management for corporate social responsibility practices. This finding provides novel insights on managing threats to food safety at an industry level to extend existing antecedents and consequences of product recall at a micro level.
Practical implications
For practitioners, this empirical finding may provide insights into stakeholder management and develop evidence-based strategies to prevent threats to food safety. For public policymakers, this analysis may help identify patterns of recalls and assist guidelines and alarm systems (e.g. EU’s Rapid Alert System for Food and Feed) on threats in the food supply chain.
Originality/value
Two detected clusters, such as opportunisms of market actors in the plant-based food system and food culture, from the analysis help understand corporate social responsibility and food safety in the plant-based food industry.
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Shilpa Bhaskar Mujumdar, Haridas Acharya, Shailaja Shirwaikar and Prafulla Bharat Bafna
This paper defines and assesses student learning patterns under the influence of problem-based learning (PBL) and their classification into a reasonable minimum number of classes…
Abstract
Purpose
This paper defines and assesses student learning patterns under the influence of problem-based learning (PBL) and their classification into a reasonable minimum number of classes. Study utilizes PBL implemented in an undergraduate Statistics and Operations Research course for techno-management students at a private university in India.
Design/methodology/approach
Study employs an in situ experiment using a conceptual model based on learning theory. The participant's end-of-semester GPA is Performance Indicator. Integrating PBL with classroom teaching is unique instructional approach to this study. An unsupervised and supervised data mining approach to analyse PBL impact establishes research conclusions.
Findings
The administration of PBL results in improved learning patterns (above-average) for students with medium attendance. PBL, Gender, Math background, Board and discipline are contributing factors to students' performance in the decision tree. PBL benefits a student of any gender with lower attendance.
Research limitations/implications
This study is limited to course students from one institute and does not consider external factors.
Practical implications
Researchers can apply learning patterns obtained in this paper highlighting PBL impact to study effect of every innovative pedagogical study. Classification of students based on learning behaviours can help facilitators plan remedial actions.
Originality/value
1. Clustering is used to extract student learning patterns considering dynamics of student performances over time. Then decision tree is utilized to elicit a simple process of classifying students. 2. Data mining approach overcomes limitations of statistical techniques to provide knowledge impact in presence of demographic characteristics and student attendance.
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Sabrina Sgambati and Luís Carvalho
This paper aims to investigate the competitive potential of different classes of municipalities within larger metropolitan areas, considering three dimensions of place…
Abstract
Purpose
This paper aims to investigate the competitive potential of different classes of municipalities within larger metropolitan areas, considering three dimensions of place competitiveness, associated to contemporary economic recovery agendas: the “dual transition” (green and digital) and socio-economic resilience.
Design/methodology/approach
The proposed methodology is divided in two stages, the first aiming at developing a new Index of Urban Competitiveness, based on three key dimensions of place development, by using principal component analysis and hierarchical cluster analysis; the second intends to identify municipalities’ main competitive assets, throughout the examination of the existing links between the overall competitiveness index and intra-metropolitan place conditions in each dimension. This methodology is applied to the metropolitan areas of Porto and Lisbon.
Findings
The analysis shows a weak link between population size and urban competitiveness, suggesting that economic recovery investments primarily targeting larger municipalities will not necessarily lead to greater metropolitan competitive advantages. On the contrary, taking into consideration place-based interventions for different “clubs” of municipalities would more likely contribute to enhance competitive performance and valorise territorial assets. Furthermore, while the relationship between competitiveness and environmental performance appears to be non-linear, digitalization and economic and social resilience prove to be key for urban competitive potential.
Originality/value
By drawing on contemporary notions of urban competitiveness, the work proposes a revised method to evaluate competitiveness, latent qualities and intrinsic features of places, constituting an initial step to conceive suitable metropolitan development and investment strategies for economic recovery.
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D. Christopher Kayes, Philip W. Wirtz and Jing Burgi-Tian
Resilience while learning is the capacity to initiate, persist and direct effort toward learning when experiencing unpleasant affective states. The underlying mechanisms of…
Abstract
Purpose
Resilience while learning is the capacity to initiate, persist and direct effort toward learning when experiencing unpleasant affective states. The underlying mechanisms of resilience are emotional buffering and self-regulation when experiencing unpleasant affective states. The authors identified four factors that support resilience while learning: positive emotional engagement, creative problem-solving, learning identity and social support. The authors developed and tested scales and found evidence to support the four-factor model of resilience. The authors offer a person-centered approach to resilience in learning by conducting a latent profile analysis that tested the likelihood of resilience based on profiles of differences in scores on these factors under two affective conditions: (unpleasant) learning during frustration versus (pleasant) learning during progress. A quarter of individuals activated the four resilience factors in pleasant and unpleasant affective states, while 75% of participants saw decrements in these factors when faced with frustration. The results support a four-factor, person-centered approach to resilience while learning.
Design/methodology/approach
The authors develop and test a four-factor model of resilience and test the model in a group of 330 management undergraduate and graduate students. Each participant identified two learning episodes in their responses, one while frustrated and one while making progress, and ranked the level of intensity on the four resilience factors. Analysis on an additional 88 subjects provided additional support for the validation and reliability of scales.
Findings
Results revealed 2 latent profiles groups, with 25% of the sample associated with resilience (low difference on resilience factors between the two learning episodes) and 75% who remain susceptible to unpleasant emotions (high difference between the two learning episodes).
Research limitations/implications
The study supports a person-centered approach to resilience while learning (in contrast to a variable centered approach).
Practical implications
The study provides a means to classify individuals using a person-centered, rather than a variable-centered approach. An understanding of how individuals buffer and self-regulate while experiencing unpleasant affect while learning can help educators, consultants and managers develop better interventions for learning.
Social implications
This study addresses the growing concern over student success associated with increased dropout rates among undergraduate business students, and the failure of many management developments and executive training efforts. This study suggests that looking at specific variables may not provide insight into the complex relationship between learning outcomes and factors that support resilience in learning.
Originality/value
There is growing interest in understanding resilience factors from a person-centered perspective using analytical methods such as latent profile analysis. This is the first study to look at how individuals can be grouped into similar profiles based on four resilience factors.
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Jacquie McGraw, Rebekah Russell-Bennett and Katherine M. White
Preventative health services are keen to identify how to engage men and increase their participation, thus improving health, well-being and life expectancy over time. Prior…
Abstract
Purpose
Preventative health services are keen to identify how to engage men and increase their participation, thus improving health, well-being and life expectancy over time. Prior research has shown general gender norms are a key reason for men’s avoidance of these services, yet there is little investigation of specific gender norms. Furthermore, masculinity has not been examined as a factor associated with customer vulnerability. This paper aims to identify the relationship between gender norm segments for men, likely customer vulnerability over time and subjective health and well-being.
Design/methodology/approach
Adult males (n = 13,891) from an Australian longitudinal men’s health study were classified using latent class analysis. Conditional growth mixture modelling was conducted at three timepoints.
Findings
Three masculinity segments were identified based on masculine norm conformity: traditional self-reliant, traditional bravado and modern status. All segments had likely customer experience of vulnerability. Over time, the likely experience was temporary for the modern status segment but prolonged for the traditional self-reliant and traditional bravado segments. The traditional self-reliant segment had low subjective health and low overall well-being over time.
Practical implications
Practitioners can tailor services to gender norm segments, enabling self-reliant men to provide expertise and use the “Status” norm to reach all masculinity segments.
Originality/value
The study of customer vulnerability in a group usually considered privileged identifies differential temporal experiences based on gender norms. The study confirms customer vulnerability is temporal in nature; customer vulnerability changes over time from likely to actual for self-reliant men.
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