Big data in family firms: A socioemotional wealth perspective

Arzubiaga, Unai; Diaz‐Moriana, Vanessa; Bauweraerts, Jonathan; Escobar, Octavio

doi:10.1016/j.emj.2020.10.006

Cited by 24 publications

(22 citation statements)

References 71 publications

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“…We used a set of data obtained from 156 students from 13 agricultural schools in Catalonia that pertain to family farming. This article addresses the intention of the interested party to succeed the family business, investigating how SEW impacts on the will of continuing FFs and adopts the SEW literature as a framework for identifying the psychological and socioeconomic factors involved in making the decision to assume the succession [10,21]. In addition, a scale measuring SEW, named REI (a short version of FIBER scale)-known as affective endowment in the context of a family business-was validated for application with next-generation FFs' members.…”

Section: Introductionmentioning

confidence: 99%

The Survival of Family Farms: Socioemotional Wealth (SEW) and Factors Affecting Intention to Continue the Business

Plana-Farran

Larraz

2021

Agriculture

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This article addresses the problem of succession in family farms in a context of generational change. Family businesses are characterized by their long-term orientation and by having a positive effect through environmental goals that remain in place generation after generation. The general increase in average age among farmers is seen as a barrier to more sustainable land use, and the survival of family farming therefore depends on the availability of a successor in the family. Socioemotional wealth (hereafter, SEW) is understood as the affective endowment of family members. This study adopts the SEW dimensions conceptually validated to analyse the effects of psychological and socioeconomic factors on potential successors’ intentions. The results of a survey administered to students attending agricultural schools in Catalonia show that intentions to assume the management and ownership of the family farm increase in line with individuals’ interest in creating their own business, their ability to take over the farm, and their emotional inclination to continue the family legacy. In addition, SEW was measured in relation to the potential successor and not the incumbent, as has typically been the case in previous work, bringing this important research subject as a principal actor. Finally, an empirical validation of a short FIBER scale, i.e., REI scale, was obtained that relates individuals’ intentions to succeed the family farm to the socioemotional wealth of business families, testing suitability of the REI scale as a measure of intention to succeed.

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Section: Introductionmentioning

confidence: 99%

The Survival of Family Farms: Socioemotional Wealth (SEW) and Factors Affecting Intention to Continue the Business

Plana-Farran

Larraz

2021

Agriculture

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“…e study has reviewed 297 middle-and senior-level managers who were familiar with the use of data in their firms in North America. Arzubiaga et al [18] proposed an approach for drawing on the socioemotional wealth aspect and its model of FIBER for conceptually investigating its role in family firm decisions for implementing big data. A set of framework and propositions were introduced for likeliness to implement big data in family firms.…”

Section: Related Workmentioning

confidence: 99%

Evaluating A’s of Big Data for Transformation of Smart Cities

Zhang

Nazir

2022

Scientific Programming

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Smart devices and things are widely increasing with the passage of time and with the developments of industrial technology. Various smarts devices such as sensors and actuators are interacting with each other for diverse purposes and specific goals. The role of automation can drastically revolutionize to adopt the things, to automate and accurately access, with cost-efficient resources, and save human time and effort. Data plays a vital role in industries and is the fundamental part of organizations. An efficient system is the dire need of the modern industry to efficiently and accurately assess the A’s of big data for transformation of smart cities. The existing literature was searched for finding the associated materials and to represent them. The current study considers the A’s of big data and with the support of analytic network process (ANP), the same has been evaluated. The approach of ANP works in situation of complexity where decision-making is difficult and challenging. The approach adopted the network hierarchy of goal, criteria, and alternatives for assessing the A’s of big data. Various calculations of the process have been carried out for experiments, and the experimental results show the effectiveness of the proposed research in terms of evaluation of A’s of big data.

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“…It is assumed, however, that the family does not use these instruments in some cases because the formalization that goes along with them makes knowledge available to other decision-makers and therefore the position of the family in the company becomes less important. This has already been researched and documented for aspects such as family business growth (Moreno-Men endez and Casillas, 2021), the use of management accounting tools (Bisogno and Vaia, 2017) as well as the implementation of new technologies such as artificial intelligence, big data and analytics (Arzubiaga et al, 2021).…”

Section: Frameworkmentioning

confidence: 99%

“…They are also very skeptical when it comes to the adaption of new technologies, which has been shown e.g. for big data (Arzubiaga et al, 2021) and artificial intelligence (Ulrich et al, 2021b).…”

Section: Frameworkmentioning

confidence: 99%

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Organizational aspects of cybersecurity in German family firms – Do opportunities or risks predominate?

Ulrich

Timmermann

Frank

2021

OCJ

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PurposeThe starting point for the considerations the authors make in this paper are the special features of family businesses in the area of management discussed in the literature. It has been established here that family businesses sometimes choose different organizational setups than nonfamily businesses. This has not yet been investigated for cybersecurity. In the context of cybersecurity, there has been little theoretical or empirical work addressing the question of whether the qualitative characteristics of family businesses have an impact on the understanding of cybersecurity and the organization of cyber risk defense in the companies. Based on theoretically founded hypotheses, a quantitative empirical study was conducted in German companies.Design/methodology/approachThe article is based on a quantitative-empirical survey of 184 companies, the results of which were analyzed using statistical-empirical methods.FindingsThe article asked – based on the subjective perception of cybersecurity and cyber risks – to what extent family businesses are sensitized to the topic and what conclusions they draw from it. An interesting tension emerges: family businesses see their employees more as a security risk, but do less than nonfamily businesses in terms of both training and organizational establishment. Whether this is due to a lack of technical or managerial expertise, or whether family businesses simply think they can prevent cybersecurity with less formal methods such as trust, is open to conjecture, but cannot be demonstrated with the research approach taken here. Qualitative follow-up studies are needed here.Originality/valueThis paper represents the first quantitative survey on cybersecurity with a specific focus on family businesses. It shows tension between awareness, especially of risks emanating from employees, and organizational routines that have not been implemented or established.

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Big data in family firms: A socioemotional wealth perspective

Cited by 24 publications

References 71 publications

The Survival of Family Farms: Socioemotional Wealth (SEW) and Factors Affecting Intention to Continue the Business

The Survival of Family Farms: Socioemotional Wealth (SEW) and Factors Affecting Intention to Continue the Business

Evaluating A’s of Big Data for Transformation of Smart Cities

Organizational aspects of cybersecurity in German family firms – Do opportunities or risks predominate?

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