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Cyber risk has significantly increased over the past twenty years. In many organizations, data and operations are managed through a complex technology stack underpinned by an Enterprise Resource Planning (ERP) system such as systemanalyse programmentwicklung (SAP). The ERP environment by itself can be overwhelming for a typical ERP Manager, coupled with increasing cybersecurity issues that arise creating periods of intense time pressure, stress and workload, increasing risk to the organization. This paper aims to identify a pragmatic approach to prioritize vulnerabilities for the ERP Manager.

Applying attention-based theory, a pragmatic approach is developed to prioritize an organization’s response to the National Institute of Standards and Technology (NIST) National Vulnerability Database (NVD) vulnerabilities using a Classification and Regression Tree (CART).

The application of classification and regression tree (CART) to the National Institute of Standards and Technology’s National Vulnerability Database identifies prioritization unavailable within the NIST’s categorization.

The ERP Manager is a role between technology, functionality, centralized control and organization data. Without CART, vulnerabilities are left to a reactive approach, subject to overwhelming situations due to intense time pressure, stress and workload.

To the best of the authors’ knowledge, this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere. CART has previously not been applied to the prioritizing cybersecurity vulnerabilities.

Although governments have used social media platforms to interact with the public in an attempt to minimize anxiety and provide a forum for public discussion during the pandemic, governments require sufficient crisis communication skills to engage citizens in taking appropriate action effectively. This study aims to examine how the National Health Commission of China (NHCC) has used TikTok, the leading short video–based platform, to facilitate public engagement during COVID-19.

Building upon dual process theories, this study integrates the activation of information exposure, prosocial interaction theory and social sharing of emotion theory to explore how public engagement is related to message sensation value (MSV), media character, content theme and emotional valence. A total of 354 TikTok videos posted by NHCC were collected during the pandemic to explore the determinants of public engagement in crises.

The findings demonstrate that MSV negatively predicts public engagement with government TikTok, but that instructional information increases engagement. The presence of celebrities and health-care professionals negatively affects public engagement with government TikTok accounts. In addition, emotional valence serves a moderating role between MSV, media characters and public engagement.

Government agencies must be fully aware of the different combinations of MSV and emotion use in the video title when releasing crisis-related videos. Government agencies can also leverage media characters – health professionals in particular – to enhance public engagement. Government agencies are encouraged to solicit public demand for the specific content of instructing information through data mining techniques.

This paper aims to examine the effects of socio-emotional wealth importance (SEWi) in family firms and family firm-specific HR practices, namely professionalization and bifurcation bias, on their entrepreneurial orientation (EO).

The paper surveyed 133 small and medium-sized family firms in the USA. The respondents were recruited through Prolific Academic.

When SEWi is low, a family firm becomes more similar to a non-family firm, thereby enjoying the benefits associated with EO. When SEWi is high, a family firm leverages the unique resources and capabilities specific to family firms. Moderate SEWi levels are associated with lower EO levels. Additionally, the results support the argument that professionalization (involving non-family managers, formalization and decentralization) fosters EO, while bifurcation bias hinders its development.

Unlike previous studies, this paper posits a non-linear, U-shaped relationship between SEWi and EO. It contributes to the field by empirically investigating the effects of professionalization and bifurcation bias on EO in family firms.

An important facet of student’s sense of belonging is students’ relationships with, and time spent in, the university campus. The purpose of this paper is to explore the notion that access to campus “green space”, including parks, fields and gardens, may bolster students’ sense of belonging, improve well-being feelings and promote place attachment.

The authors surveyed students in different locations (including three green and one non-green campus spaces) across a large UK campus-based Northern institution. 146 students participated in the study in one of the four campus locations. The authors investigated how being in green spaces on campus may impact students’ sense of belonging, well-being and place attachment. The authors also qualitatively explored students’ perceptions of campus spaces through Ahn’s (2017) 10 Words Question measure.

Analyses demonstrate that students surveyed in green spaces reported significantly more positive sense of belonging, compared to students surveyed in non-green campus spaces. Campus location did not impact well-being, however. Students associated green spaces on campus with “calm”, “positive emotion” and “nature” words and non-green spaces with “busy”, “social” and “students”.

Taken together, the results of this paper suggest that access to green spaces can be important for campus sense of belonging. Thus, efforts should be made to ensure the sustainability of these important spaces across university campuses.

This study crucially examines how occupying green spaces on university campuses may impact students’ feelings of belongingness. To the best of the authors’ knowledge, this is the first study that uses field-based methods to understand students’ feelings whilst occupying green spaces.

Moral transgressions committed by person-brands can negatively impact consumers through the transgression’s diagnosticity (severity, centrality and consistency). This paper aims to test how a transgression’s centrality and consistency impact important consumer perceptions and behavioral intentions toward a person-brand, holding constant the transgression in question. These outcomes are crucial for person-brands to understand how to minimize and manage the impact of a given transgression.

This paper uses three online consumer experiments to manipulate transgression diagnosticity via centrality and consistency and identifies the resulting impact on consumer-brand identification, trustworthiness and consumer digital engagement intentions through PROCESS models.

High-diagnosticity transgressions lower consumer digital engagement intentions regarding the person-brand and their endorsed products. This effect is serially mediated by consumer-brand identification, as predicted by social identity theory, and by perceived trustworthiness of the person-brand.

Person-brands should emphasize the nondiagnostic nature of any transgressions in which they are involved, including a lack of centrality and consistency with their brand, and guard against the appearance of diagnostic transgressions.

This paper shows that transgression diagnosticity impacts consumer engagement through the pathway of consumer-brand identification and trustworthiness. It also manipulates aspects of diagnosticity that can be influenced by the person-brand (centrality and consistency) while holding the transgression constant. As such, this paper extends the literature on transgressions, on person-branding strategy, and on social identity theory.

This empirical paper is an endeavor to explore the relationship between social media advertising (SMA) and customers' purchase intention (CPI) in three South Asian countries. SMA was further divided into three relevant dimensions: perceived relevance (PR), perceived informativeness (PI) and perceived credibility (PC). Furthermore, the authors incorporated a single mediator: customers' brand consciousness (CBC) to test the mediating effects on the direct relationships.

The authors purposively selected 1937 fashion-conscious individuals based on a cross-sectional survey design. The authors applied SPSS 25 for explanatory statistics and structural equation modeling (SEM) (through AMOS 25) for testing the hypothesized relationships.

Based on the responses and the application of statistical measures, the authors revealed that all of the three dimensions of SMA have significant positive relationships with CPI. CBC is also significantly and positively related to CPI. Regarding the mediating effects, CBC was identified to have full mediation effects on the relationships between PR and CPI and PI and CPI. On the contrary, the same variable was found to have partial mediation on the relationship between PC and CPI.

South Asia is a growing business hub and the largest consumer market in terms of population. This empirical study was undertaken to reveal the role of SMA on CPI in the three highly populated South Asian countries, which is rare in academia. The outcomes of this empirical study are expected to be useful for further research attempts regarding SMA and consumer behavior. Businesses and policymakers are also expected to benefit from formulating SMA-related strategies to retain present buyers as well as attract the prospective ones.

The study aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the inter-partner factors. International joint ventures (IJVs) literature has scantly studied the interactions and inter-relationships among the inter-partner factors of IJVs performance. To address this gap, this research creates a hierarchical relationship framework among the inter-partner factors of IJVs performance.

The comprehensive literature review is used to identify the factors and possible relationships between the factors and IJVs performance. M-TISM (modified total interpretive structural modelling) methodology is used to examine the relationship among the factors of IJVs performance.

This study highlights 12 inter-partner factors that affect IJVs performance. The results suggest that size asymmetry, commitment, goal incongruency, competitive overlap, trust, control, the interdependency of resources, cooperation, economic distance, cultural distance, geographical distance and administrative distance significantly impact IJVs performance. Commitment is found to be a linkage variable as it has high dependence and driving power. Goal incongruency and competitive overlap have high driving power.

This study gives a proposed list of critical inter-partner factors for policymakers and practitioners to consider when developing rules or recommendations to improve IJVs performance. The focus of policymakers should be on economic and geographical distance, followed by cultural distance, competitive overlap, goal incongruency, size asymmetry and administrative distance to improve inter-relationship among the partners in IJVs. The work contributes to the academician by presenting a modified TISM model that highlights the significance of ambidexterity in driving the performance of IJVs.

This study fills a gap in the literature by analysing the interactions among the inter-partner parameters that influence the performance of IJVs. It offers insights into the variables, such as driver dependence and the relationships between the variables.

This paper aims to present demographic characteristics and postgraduate employment trends of business doctoral graduates, especially the proportion that are underrepresented minorities (URMs) over time.

The authors analyze the near census of individuals receiving doctoral degrees in a wide range of business disciplines from US-accredited universities from 1973 to 2018 (n = 50,091) contained with the National Science Foundation Survey of Earned Doctorates. The authors analyze how the proportion of URM graduates, by discipline, has changed over time both in terms of receiving a doctoral degree and entering an academic position.

The proportion of URM graduates fluctuated between approximately 5% and 15% annually, steadily increasing across decades. Overall, 64.4% of all graduates entered an academic position, with notably higher rates among whites (72.1%) compared to Blacks (51.8%), Hispanics (60.4%) and other URMs (56.4%) (p < 0.001). In adjusted models, the proportion of URMs that entered academic positions significantly increased overtime, beginning in the 1990s and peaked in the 2000s. Although the few institutions that graduated the highest number of URMs do not currently have an Association to Advance Collegiate Schools of Business-accredited business school, the authors identify several exemplar institutions where URM graduates entered academic jobs at the highest rates.

The authors provide demographic trends that shed light on ways to influence an increase in URM doctoral graduates from business disciplines into academic careers. This discussion is of interest to university administrators and other stakeholders interested in diversity issues in higher education.

Low-fit brand extensions offer several potential benefits, yet their success is challenging. Building on construal level theory, this study aims to investigate how different advertising appeals can improve the evaluations of low-fit brand extensions through two different processes (cognitive and affective).

Two experiments were conducted with US consumers. Study 1 used a 2 (extension fit: high, low) × 2 (ad appeal: abstract, concrete) between-subjects design. Study 2 applied a 2 (brand associations: promotion, prevention) × 2 (ad appeal: promotion, prevention) between-subjects design. Multivariate analyses and follow-up means comparisons were used to analyse data.

Study 1 found that an abstract ad appeal is more effective for promoting low-fit brand extension because it improves the perception of fit. Study 2 showed promotion vs prevention ad appeals lead to better evaluation of low-fit brand extensions when matched with parent brand associations (promotion vs prevention) in terms of construal level. This matching effect is underpinned by processing fluency.

Ad appeals can influence low-fit brand extension evaluation by influencing the perception of fit (cognitive process) or processing fluency (affective process). Future research could consider different ad appeals and other construal related factors to generalise these findings.

Marketers can design different ad appeals to effectively advertise low-fit brand extensions. These findings can guide managers in the development of effective advertising strategies.

This research offers a new perspective on how ad appeals can enhance low-fit brand extension evaluation.

This paper aims to investigate an autonomous obstacle-surmounting method based on a hybrid gait for the problem of crossing low-height obstacles autonomously by a six wheel-legged robot. The autonomy of obstacle-surmounting is reflected in obstacle recognition based on multi-frame point cloud fusion.

In this paper, first, for the problem that the lidar on the robot cannot scan the point cloud of low-height obstacles, the lidar is driven to rotate by a 2D turntable to obtain the point cloud of low-height obstacles under the robot. Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping algorithm, fast ground segmentation algorithm and Euclidean clustering algorithm are used to recognize the point cloud of low-height obstacles and obtain low-height obstacle in-formation. Then, combined with the structural characteristics of the robot, the obstacle-surmounting action planning is carried out for two types of obstacle scenes. A segmented approach is used for action planning. Gait units are designed to describe each segment of the action. A gait matrix is used to describe the overall action. The paper also analyzes the stability and surmounting capability of the robot’s key pose and determines the robot’s surmounting capability and the value scheme of the surmounting control variables.

The experimental verification is carried out on the robot laboratory platform (BIT-6NAZA). The obstacle recognition method can accurately detect low-height obstacles. The robot can maintain a smooth posture to cross low-height obstacles, which verifies the feasibility of the adaptive obstacle-surmounting method.

The study can provide the theory and engineering foundation for the environmental perception of the unmanned platform. It provides environmental information to support follow-up work, for example, on the planning of obstacles and obstacles.