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This study examines the propensity to innovate in automation of family firms (FFs) based on the socio-emotional wealth (SEW) perspective.

This study’s analysis is based on three aspects. First, the authors consider three main non-economic goals and priorities of FFs: the family’s relationship with employees (read as to care for their satisfaction and well-being); the inner pride of building and maintaining the family and firm image and reputation; and the inner feeling to be socially responsible. Second, the authors consider how these goals and priorities vary among FFs according to four dimensions: family ownership, the presence of family members on the board of directors, the involvement of young successors, and the presence of founding and later generations. Finally, the consequences of automation are considered: lower firm employment, lower employees’ satisfaction and well-being, and higher firm productivity. The analysis is based on a sample of 4,150 Italian firms.

The analysis revealed that FFs are less prone to innovate in automation than non-FFs. Specifically, family ownership, the presence of family members on the board of directors, and the presence of founding generation are negatively associated with innovation in automation. Instead, the involvement of young successors and the presence of later generation are positively associated with innovation in automation.

To the authors’ knowledge, this study is the first investigation that, based on SEW, examines how FFs act on the decision to innovate in automation, thereby providing empirical evidence.

The purpose of this study isto synthesize recent empirical research investigating memory of stressful critical incidents (both simulated and occurring in the field) among law enforcement officers.

The study used the approach of systematic state-of-the-art review.

In total, 20 studies of police and military officers show reduced detail and accuracy of high- versus low-stress incidents, especially for peripheral versus target information. Decrements in memory performance were mediated by the extent of physiological stress responses. Delayed recall accuracy was improved among officers that engaged in immediate post-incident rehearsal, including independent debriefing or reviewing body-worn camera footage.

Most studies were not found through systematic database searches, highlighting a need for broader indexing and/or open access publishing to make research more accessible.

By understanding how stress physiology enhances or interferes with memory encoding, consolidation and recall, evidence-based practices surrounding post-incident evidence gathering are recommended.

The current review addresses common public misconceptions of enhanced cognitive performance among police relative to the average citizen.

The current work draws from scientific knowledge about the pervasive influence of stress physiology on memory to inform existing practices surrounding post-incident evidence gathering among police.

The paper aims to explore how family involvement influences family firms (FF) decisions to innovate in automation (i.e. artificial intelligence, big data and robotics). Automation implies pronounced emotional significance within the shared societal consciousness, presenting specific intricacies that pose challenges to the strategic decision-making processes of FFs.

This study draws on the levels of ambivalence described in the literature and the FF archetypes (i.e. enmeshed FFs, balanced FFs and disengaged FFs), which are characterised by a different relationship between the family and the firm. Empirically, this study adopts a qualitative approach, conducting three case studies involving FFs that have registered patents in automation technologies.

A distinctive pattern emerged among the different FF archetypes in their approach to innovation in automation. Innovation in automation will be limited in enmeshed FFs (based on emotional concerns at the firm level), while it will be supported in balanced FFs (based on a balanced view between emotional concerns at the family level and economic aspects at the firm level) and in disengaged FFs (based on economic considerations at the firm level).

Our research, focussing on the strategic choice of family firms (FFs) to innovate in automation, fills an important gap and investigates an area with relatively scant research despite the current importance of automation. Additionally, we consider the ambivalence that characterises family firms, providing a nuanced understanding of how emotional dynamics within the family-business interface influence strategic decisions.

Following the recent surge in research on carsharing, the paper synthesizes this growing literature to provide a comprehensive understanding of the current state of research and to identify directions for future work. Specifically, this study details implications for service theory and practice.

Systematic selection and analysis of 279 papers from the existing literature, published between 1996 and 2020.

The literature review identified four key themes: business models, drivers and barriers, customer behavior, and vehicle balancing.

For managers, the study illuminates the importance of collaboration among stakeholders within the automotive sector for purposes of widening their customer base and maximizing utilization and profits. For policy makers, their important role in supporting carsharing take-off is highlighted with emphasis on balancing support rendered to different mobility services to promote mutual success.

This is the first systematic multi-disciplinary literature review of carsharing. It integrates insights from transportation, environmental, and business studies, identifying gaps in the existing research and specifically suggesting implications for service research.

There is evidence that spirituality at the workplace has positive effects on work outcomes, and there are different models conceptualizing the construct. To date, there is no discussion highlighting how digitalization is affecting workplace spirituality and vice versa. The present review tries to close this gap by discussing the psychological dynamics in light of digitalization and spirituality in the context of work.

This is a conceptual discussion based on an extensive narrative review. The conceptual design is further tested with a real-life case study.

The result is a model that may guide future research, which consists of the four highly interdependent domains, namely psychology (with the dimensions of emotion, cognition and behavior), digitalization (with the dimensions of platforms, data and algorithms), spirituality (with the dimensions of meaning, self-transcendation and belonging), as well as the workplace (with the dimensions of work tasks, location, community and culture and values). The discussion includes implications for the future of work, suggestions for management decisions and potential future research directions.

To date, there are many discussions about digital transformation and a limited amount of them have invested in analyzing psychological dimensions. The application to spirituality and the workplace – especially when the two are combined – is almost wholly absent, which makes the present discussion both innovative and original.

We aimed to determine how remote management support (MS) practices and staff diversity influenced employee performance (EP) within the digital workplace (DW) during the COVID-19 pandemic. The article highlights the challenges managers face in achieving EP in the DW compared to traditional work environments.

We developed a theoretical model (MS→DW→EP) and tested it based on the computer-assisted web interview (CAWI) conducted in mid-2022. Factors of primary, secondary and organizational diversity moderated the relationship between the variables. We purposely selected a sample of 1,000 respondents with remote working experience.

The results show that the DW partially mediates the relationship between MS and EP. The greater the uncertainty in managing people, the more flexibility, trust and job satisfaction required in the DW to achieve EP. Organizational diversity influenced the model more (i.e. teamwork vs individual work) than the primary and secondary diversity (i.e. gender and education).

Although the sample size was large, we cannot consider it statistically representative.

Zoomers and Millennials reflect full mediation in the model that supports EP.

Broader work autonomy, smaller organizations and teams as well as hybrid work arrangements, reduce the necessity for in-person meetings with superiors.

Supervisors had to reduce control over the DW while expanding organizational citizenship behavior (OCB) to enhance job satisfaction and thus ensure the expected EP during the pandemic. We may consider allowing an employee to postpone work as a new managerial activity within MS.

This study aims to explore the factors that determine the perceived benefits and the perceived risks of financial technology (fintech) and to evaluate the influence of perceived benefits, perceived risks and small and medium-sized enterprises’ (SMEs') trust to continue using fintech.

This study involves SMEs in Indonesia. Non-probability with a convenience sampling technique was used in this study.

Convenience and economic benefits can explain the perceived benefits. Operational risk is stated as a risk factor felt by the respondents. Furthermore, the perceived benefits have a positive effect and the perceived risks show a negative effect on trust. At the same time, the individuals’ intention to continue using fintech is determined by trust.

Based on the theory of reasoned action (TRA), various benefits and risks of using fintech are used to build the construction of perceived benefits and perceived risk in building trust that will determine decision to continue using fintech.

This research can provide advice to managers to develop efficient payment systems, lower payment fee and error-free transactions. In addition, the fintech management needs to understand the risks related to operational risks that are a challenge for the users to decide to use fintech so that a reliable mechanism for using fintech can be developed. Furthermore, it will be useful for fintech developing companies as a reference in knowing the factors that influence users in continuing to use fintech, this allows fintech developing companies in Indonesia will be even more developed and accelerate the achievement of the Sustainable Development Goals.

To the best of the authors’ knowledge, research on the factors that affect the trust of SMEs in adopting fintech has not been conducted. This study can be advantageous for fintech service companies and organizers in developing fintech strategies in terms of users who are involved in SMEs which is the population in Indonesia is enormous and has a significant role in the development of the country.

The practical purpose of this research is to propose a candidate for post-quantum signature standard that is free of significant drawback of the finalists of the NIST world competition, which consists in the large size of the signature and the public key. The practical purpose is to propose a fundamentally new method for development of algebraic digital signature algorithms.

The proposed method is distinguished by the use of two different finite commutative associative algebras as a single algebraic support of the digital signature scheme and setting two different verification equation for a single signature. A single public key is computed as the first and the second public keys, elements of which are computed exponentiating two different generators of cyclic groups in each of the algebras.

Additionally, a scalar multiplication by a private integer is performed as final step of calculation of every element of the public key. The same powers and the same scalar values are used to compute the first and the second public keys by the same mathematic formulas. Due to such design, the said generators are kept in secret, providing resistance to quantum attacks. Two new finite commutative associative algebras, multiplicative group of which possesses four-dimensional cyclicity, have been proposed as a suitable algebraic support.

The introduced method is novel and includes new techniques for designing algebraic signature schemes that resist quantum attacks. On its base, a new practical post-quantum signature scheme with relatively small size of signature and public key is developed.

This paper aims to deepen understanding of the role played by new technological tools used in customer–travel agency (TA) interactions by analysing the TA owner/managers' perceptions, pre- and post-Covid-19, regarding the effectiveness of in-store traditional and innovative tools.

This exploratory study is based on a questionnaire-based survey conducted among Italian TAs and distributed via email from September 2020 to January 2021.

The study highlights how, even among TAs, the role of in-store technology is gradually taking on greater importance, and it delves into the specific business and socio-demographic factors that seem to cause differences among agencies.

The study focuses on the Italian context, which does not allow for any generalisations. Furthermore, it is only the travel agent perspective that is observed and not the consumer's.

In addition to helping to bridge the literature gap, this study on in-store technologies focuses on the TAs sector, where human resources and human relationships play a decisive role in customer experience and interaction. The paper investigates the travel agents' point of view regarding the introduction of new in-store technologies; it also highlights their growing adoption and use, overall, despite the travel catalogue still remaining the main tool for interacting with customers. The study also shows how the advent of Covid-19 has increased travel agents' propensity to use digital technologies.

Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation index system in specific scenarios.

This paper selects marketing scenarios, and in accordance with the idea of “theory construction-scene feature extraction-enterprise practice,” summarizes the definition and standard of fairness, combs the application link process of marketing algorithms and establishes the fairness evaluation index system of marketing equity allocation algorithms. Taking simulated marketing data as an example, the fairness performance of marketing algorithms in some feature areas is measured, and the effectiveness of the evaluation system proposed in this paper is verified.

The study reached the following conclusions: (1) Different fairness evaluation criteria have different emphases, and may produce different results. Therefore, different fairness definitions and standards should be selected in different fields according to the characteristics of the scene. (2) The fairness of the marketing equity distribution algorithm can be measured from three aspects: marketing coverage, marketing intensity and marketing frequency. Specifically, for the fairness of coverage, two standards of equal opportunity and different misjudgment rates are selected, and the standard of group fairness is selected for intensity and frequency. (3) For different characteristic fields, different degrees of fairness restrictions should be imposed, and the interpretation of their calculation results and the means of subsequent intervention should also be different according to the marketing objectives and industry characteristics.

First of all, the fairness sensitivity of different feature fields is different, but this paper does not classify the importance of feature fields. In the future, we can build a classification table of sensitive attributes according to the importance of sensitive attributes to give different evaluation and protection priorities. Second, in this paper, only one set of marketing data simulation data is selected to measure the overall algorithm fairness, after which multiple sets of marketing campaigns can be measured and compared to reflect the long-term performance of marketing algorithm fairness. Third, this paper does not continue to explore interventions and measures to improve algorithmic fairness. Different feature fields should be subject to different degrees of fairness constraints, and therefore their subsequent interventions should be different, which needs to be continued to be explored in future research.

This paper combines the specific features of marketing scenarios and selects appropriate fairness evaluation criteria to build an index system for fairness evaluation of marketing algorithms, which provides a reference for assessing and managing the fairness of marketing algorithms.

Algorithm governance and algorithmic fairness are very important issues in the era of artificial intelligence, and the construction of the algorithmic fairness evaluation index system in marketing scenarios in this paper lays a safe foundation for the application of AI algorithms and technologies in marketing scenarios, provides tools and means of algorithm governance and empowers the promotion of safe, efficient and orderly development of algorithms.

In this paper, firstly, the standards of fairness are comprehensively sorted out, and the difference between different standards and evaluation focuses is clarified, and secondly, focusing on the marketing scenario, combined with its characteristics, key fairness evaluation links are put forward, and different standards are innovatively selected to evaluate the fairness in the process of applying marketing algorithms and to build the corresponding index system, which forms the systematic fairness evaluation tool of marketing algorithms.