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This study aims to introduce a novel rank aggregation algorithm that leverages graph theory and deep-learning to improve the accuracy and relevance of aggregated rankings in metasearch scenarios, particularly when faced with inconsistent and low-quality rank lists. By strategically selecting a subset of base rankers, the algorithm enhances the quality of the aggregated ranking while using only a subset of base rankers.

The proposed algorithm leverages a graph-based model to represent the interrelationships between base rankers. By applying Spectral clustering, the algorithm identifies a subset of top-performing base rankers based on their retrieval effectiveness. These selected rankers are then integrated into a sequential deep-learning model to estimate relevance labels for query-document pairs.

Empirical evaluation on the MQ2007-agg and MQ2008-agg data sets demonstrates the substantial performance gains achieved by the proposed algorithm compared to baseline methods, with an average improvement of 8.7% in MAP and 11.9% in NDCG@1. The algorithm’s effectiveness can be attributed to its ability to effectively integrate diverse perspectives from base rankers and capture complex relationships within the data.

This research presents a novel approach to rank aggregation that integrates graph theory and deep-learning. The author proposes a graph-based model to select the most effective subset for metasearch applications by constructing a similarity graph of base rankers. This innovative method addresses the challenges posed by inconsistent and low-quality rank lists, offering a unique solution to the problem.

While consumers are increasingly concerned about the environment and commit themselves to environmental protection, they are still reluctant to act. This phenomenon, to date, has remained a puzzle and gained much attention from practitioners and researchers. As a contribution to the understanding of the phenomenon, this study aims to examine the role of downward social comparison as an explanation for the inconsistency of the relationships between two types of pro-environmental attitudes, namely attitudes toward the environment and attitudes toward sustainable consumption, and two sustainable consumption behaviors including electricity-saving behavior and unneeded consumption reduction.

Hierarchical multiple regressions were employed to test the hypotheses with survey data from 381 consumers in a large city in a Southeast Asian country.

The regression results support our expectation that downward social comparison negatively moderates the relationships between the two attitude variables and the two sustainable consumption behaviors.

Our findings provide some insights into the complexity of the attitude-behavior relationship and offer some practical recommendations for governments and policymakers in designing more effective behavioral interventions for the sustainability of human society.

This paper aims to prepare alkyd protective paint by using modified alkyd with 3,6-dichloro benzo[b]thiophene-2-carbonyl glutamic acid (DCBTGA) as a source of dicarboxylic acid and evaluating their anticorrosive properties compared with those of unmodified alkyd coatings for steel protection.

Short, medium and long oil alkyds, which represented as (0, 10, 20 and 30% excess-OH) according to the resin constants (Patton, 1962), were prepared through a condensation polymerization reaction via a solvent process in a one-step reaction. The modification of alkyd was carried out by using DCBTGA as a source of dicarboxylic acid. The prepared modified alkyd was confirmed by IR and NMR spectral analysis. The physicochemical, mechanical and anticorrosion performance properties of the considered modified coating formulations against unmodified blank coating were studied to confirm their application efficiency.

The best results in terms of physicochemical, mechanical and anticorrosion performance properties were found according to the following of this order activity: 30 replacements of the modifier (DCBTGA) for each hydroxyl continent were 30% Ex-OH > 20% Ex-OH > 10% Ex-OH > 0% Ex-OH, compared with that formulation containing unmodified alkyd, especially with increasing the modifier percent.

The prepared DCBTGA-modified resins can be used for different applications based on the type of alkyd and application.

The purpose of this paper is to explore leadership succession in families in business. Although there is a vast amount of research on leadership succession, no attempt has been made to understand this phenomenon by using an intergenerational learning approach. By applying the Double ABC–X model, the authors discuss how resilience is developed through intergenerational learning during family leadership succession in business.

Based on a single case, the authors define pre- and post-event parameters of the business family under study and use the Double ABC–X Model as an analytical framework. Individual and pair interviews, as well as a family firm workshop, were undertaken following an action research approach using multiple interventions. The qualitative data were collected by reflective journals, field notes and observation protocols. Finally, the authors analyze the data according to a circular deconstruction strategy.

The authors find specific pre-event stressor parameters related to mutual mistrust, independent decision making and non-strategic transmission of power, knowledge and responsibility from predecessor to successor. The intervention based on the intergenerational approach during the post-crisis phase focuses on problem solving and coping within the new situation of co-habitation among the two generations. The intergenerational learning approach based on pile-up of demands, adaptive resources and perception is the source of family adaptation. Additionally, the power of the narrative to reflect past events and project the future seems to the point where the family starts developing resilience.

The way family businesses deal with critical and stressful events during leadership succession may lead to intergenerational learning, which is a source of resilient families. The authors apply the Double ABC–X model to understand family leadership succession in business and further develop it to explain how families develop resilience.

The COVID-19 pandemic has resulted in countries reacting differently to an ongoing crisis. Latent to this reaction mechanism is the inherent cultural characteristics of each society resulting in differential responses to the epidemic spread. In this study, the moderated moderation role of culture, on information dissemination by media during epidemic recovery-phase has been investigated.

Hofstede’s cultural factors are hypothesized to moderate the moderating effect of free-liberal media on the relationship of COVID-19 recovery rate and human mobility. Panel regression model, using mobility data and recovery rate across 95 countries for a period of 170 days has been preferred to test the hypotheses. The results are further substantiated using factor wise interaction plots and slope difference analysis.

The findings suggest that societies with high power distance and masculinity scores strengthen the impact of media on the relationship between COVID-19 recovery rate and mobility whereas, high individualistic and long-term orientation societies weaken the same effect. However, similar conclusions were not confirmed for uncertainty avoidance. Cross-cultural impact, as elucidated by this study, forms a crucial element in policy formulation on epidemic control by indigenous Governing bodies.

While most of the studies emphasizing on cultural characteristics of a society in an epidemic situation covers the growth phase of infection, This research talks about the recovery-phase of the epidemic and the effect of culture.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0314

Researchers, academicians and practitioners are trying to make employees more mindful, as mindfulness brings a lot of excellence to work. This study aims to unwrap and decode the mindfulness procedure by identifying the crucial steps to ease the process for employees and organisations.

The qualitative research method assessed 20 semi-structured interviews with mindfulness experts in India and abroad. Interpretive phenomenological analysis was used to analyse the content generated by the data collection.

Though the understanding of mindfulness is univocal and standard, this investigation fills the gap of initial groundwork concerning thoughtlessness, as it remains a less observed area in earlier research in mindfulness. This research study also found organisational ways to enhance mindfulness in the system, such as ostentatious listening, detail orientation, deep discussions, one task at a time, etc.

The study is unique in that it explores the perceptions and views of mindfulness coaches and masters and tries to demystify the procedure of being mindful in organisations.

The advent of online live streaming platforms (OLSPs) and online health communities (OHCs) has expedited the integration of traditional medical services with Internet new media technology. Since the practice of physicians conducting live streaming is a relatively new phenomenon, the potential cross-platform effects of such physicians’ live streaming have not received adequate attention.

This study collected data from 616 physicians specializing in cardiology, obstetrics and gynecology and neurology between April and November 2022 on Live.Baidu.com and WeDoctor.com. It constructed a panel data set comprising a total of 4,928 observations over an 8-month period and validated the model using empirical analysis with the fixed-effects method.

We find evidence of cross-platform influence in online healthcare. Physicians’ live streaming behavior (whether live or not and the heat of their streams) on OLSPs positively impacts both their consultation and reputation on OHCs. Additionally, physicians’ ability positively moderates the relationships between live streaming heat and their performance (in terms of consultation volume and reputation) on OHCs. However, ability does not moderate the relationship between physicians’ live streaming status (live or not) and their performance (in terms of consultation and reputation) on OHCs. Furthermore, the attractive appearance of the physicians also significantly moderates the impact in a positive way.

This is one of the pioneering studies on physicians’ live streaming. The study offers vital guidance for physicians and patients utilizing dual platforms and holds significant reference value for platform operators (such as OLSPs and OHCs) aiming to optimize platform operations and for the government in policy formulation and industry regulation.

Although emotional dynamics (EDs) during the entrepreneurial learning (EL) process are acknowledged to promote the growth of an entrepreneurial mindset (EM), while having social causes, empirical research on learning mainly looks at emotions as socially isolated concepts. This study aims to investigate how socially induced and regulated emotions during the EL process affect EM development.

We applied a qualitative, inductive approach related to interpretative phenomenological analysis to get deeply involved into individuals’ experienced emotions. We conducted semi-structured interviews with participants of two EL programs. Open-ended questions stimulated free narratives and detailed descriptions of experiences that were analyzed following a five-stage process.

There is a correlation between socially induced and regulated emotions and the development of EM elements. We suggest a framework for the EL process based on EDs, which triggers four main mechanisms that help individuals develop an EM: “re-assessment of individual emotions through EDs”, “EDs affected by facilitator intervention,” “sharing and co-creation of emotions,” and “sensemaking of experiences and emotions.”

This study adds to the knowledge on EDs during the EL process and contributes to the literature on EL and emotions in learning. Therewith, it helps to sensitize practitioners toward the complexity of emotions in the entrepreneurial process, allows to moderate individual emotional reactions and social Eds, and improves existing EE programs. Future research could investigate the interplay of specific personality traits, learning environments, and socioemotional team dynamics in EL.

This article aims to illuminate the gendered organisational structure of higher education in Jordan by collecting and analysing a national-level snapshot of the current distribution of women and men in leadership positions and academic ranks across Jordanian universities to pinpoint inequalities in specific levels and fields.

Grounded in gendered organisational theory, this study presents a snapshot of the gender composition of 10 public and 14 private universities in Jordan. The snapshot, collected in September 2022 from these universities’ websites, examines counts of male and female administrative leaders as well as academic staff across all ranks for all faculties in both STEM and liberal arts fields.

The distribution of women and men in leadership positions in universities across Jordan is highly unequal, with men outnumbering women in the uppermost positions by nearly 10:1. This gap decreases as the rank of positions decreases, indicative of a highly gendered organisational structure, with only three to four fields approaching gender parity.

This paper offers a comprehensive and detailed quantitative foundation for researchers to investigate the underlying social, cultural, legal, political and economic factors perpetuating gender inequality in academia in Jordan and in comparative studies.

This study is relevant for targeting policies for advancing sustainable development goals, specifically 5.5, which aim at women’s full and effective participation and equal opportunities for leadership at all levels of decision-making.

This study provides the most detailed and extensive macro-level analysis of the gender composition of universities in Jordan.