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This paper aims to provide a strategic review of the marketing function for a Cypriot company operating in the liquid food packaging industry (for reasons of confidentiality the name of the company is withheld). The paper focuses on the dairy market, where the company does not have a very strong market position, and illustrates how through an analysis of the environment (internal and external audit) the company's strategic direction and marketing plan can be designed more effectively.

The paper adopts a case study approach with primary research through in‐depth interviews with managers of the company under investigation.

The paper concludes that, by undertaking to rectify its weak marketing function, the company can develop capabilities that will lead to a fully integrated relationship with all its customers and significantly improve its market share.

The value of the paper lies in providing a new case study that highlights the importance of making the marketing function a more market/consumer oriented process that bridges the gap between strategic change and industrial complexity and instability.

Reviews the latest management developments across the globe and pinpoints practical implications from cutting‐edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

It is no secret that if a company is looking to grow its market share and improve its overall position, the marketing function plays a key role. In this article, a liquid food packing company in Cyprus is analyzed and, through a strategic review, the authors identify ways in which its marketing function can develop the capabilities to have a fully integrated relationship with its customers and improve considerably on its current 23 percent market share.

Provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to‐digest format.

The purpose of this paper is to shed light on the antecedents of team turnover intentions in temporary organizations such as projects, programs, or temporary teams.

The authors systematically combine the findings from the literature on the antecedents of turnover intentions in permanent organizations (PO) with the characteristics of temporary organizations (TO) and develop a research model comprising personal factors, job-related factors, and organization-related factors.

A research model consisting of testable propositions that the authors derived from both specificities of TO and the antecedents of turnover intentions in PO.

The authors contribute to literature by identifying potential antecedents of turnover intentions that are specific to TOs and those that also exist in POs but are adapted to a temporary context. The research model allows future empirical research on turnover in TO to be conducted in a systematic way and supports the development of theory.

Despite much progress in the field of family business research, there is still no unequivocal quantitative evidence on how many family businesses are generally transferred within the family and how many are sold to nonfamily members. Accordingly, the purpose of our paper is to overcome this data problem and to try to get a better estimate of these rates.

To determine a better estimate of intrafamily successions in Germany, we conducted a meta-analysis of 33 samples from 27 studies covering 75,522 firms facing or having already faced a business transfer.

Our results indicate that 62% of these family firms are (planned to be) transferred to family members. This type of industry strongly determines the mode of succession. However, methodological issues like study quality and sample design also influence estimated succession rates.

Policymakers need robust statistics so they can base their actions and economic policies on reliable information. However, in the absence of official statistics – as in the case of family firms handing over their company within or outside the family – information is difficult to generate. Our findings provide a generalizable estimate of prevalence rates, providing German policymakers, and those in other countries when applying these methods, with useful information.

This paper suggests that a theory of family firm succession needs to consider more deeply the context in which succession decisions occur. By exploring variables affecting succession rates such as firm size and industry but also methodological issues like sample design and study quality, our analysis also provides a better understanding of central determinants of successions within and outside the family.

The purpose of this paper is to present a new paradigm, named BioGames, for the extraction of behavioral biometrics (BB) conveniently and entertainingly. To apply the BioGames paradigm, the authors developed a BB collection tool for mobile devices named BioGames App. The BioGames App collects keystroke dynamics, touch gestures, and motion modalities and is available on GitHub. Interested researchers and practitioners may use it to create their datasets for research purposes.

One major challenge for BB and continuous authentication (CA) research is the lack of actual BB datasets for research purposes. The compilation and refinement of an appropriate set of BB data constitute a challenge and an open problem. The issue is aggravated by the fact that most users are reluctant to participate in long demanding procedures entailed in the collection of research biometric data. As a result, they do not complete the data collection procedure, or they do not complete it correctly. Therefore, the authors propose a new paradigm and introduce a BB collection tool, which they call BioGames, for the extraction of biometric features in a convenient way. The BioGames paradigm proposes a methodology where users play games without participating in an experimental painstaking process. The BioGames App collects keystroke dynamics, touch gestures, and motion modalities.

The authors proposed a new paradigm for the collection of BB on mobile devices and created the BioGames application. The BioGames App is an Android application that collects BB data on mobile devices and sends them to a database. The database design allows multiple users to store their sensor data at any time. Thus, there is no concern about data separation and synchronization. BioGames App is General Data Protection Regulation (GDPR) compliant as it collects and processes only anonymous data.

The BioGames App is a publicly available tool that combines the keystroke dynamics, touch gestures, and motion modalities. In addition, it uses a methodology where users play games without participating in an experimental painstaking process.

This research aims to build a system that will continuously. This paper is an extended version of SECPRE 2021 paper and presents a research on the development and validation of a behavioral biometrics continuous authentication (BBCA) system that is based on users keystroke dynamics and touch gestures on mobile devices. This paper aims to build a system that will continuously authenticate the user of a smartphone.

Session authentication schemes establish the identity of the user only at the beginning of the session, so they are vulnerable to attacks that tamper with communications after the establishment of the authenticated session. Moreover, smartphones themselves are used as authentication means, especially in two-factor authentication schemes, which are often required by several services. Whether the smartphone is in the hands of the legitimate user constitutes a great concern and correspondingly whether the legitimate user is the one who uses the services. In response to these concerns, BBCA technologies have been proposed on a large corpus of literature. This paper presents a research on the development and validation of a BBCA system (named BioPrivacy), which is based on the user’s keystroke dynamics and touch gestures, using a multi-layer perceptron (MLP). Also, this paper introduces a new BB collection tool and proposes a methodology for the selection of an appropriate set of BB.

The system achieved the best results for keystroke dynamics which are 97.18% accuracy, 0.02% equal error rate, 97.2% true acceptance rate and 0.02% false acceptance rate.

This paper develops a new BB collection tool, named BioPrivacy, by which behavioral data of users on mobile devices can be collected. This paper proposes a methodology for the selection of an appropriate set of BB. This paper presents the development of a BBCA system based on MLP.