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This paper aims to examine talent management (TM) practices in small- and medium-sized enterprises (SMEs) within the hospitality industry. Specifically, the views of SME owner-managers in the hotel and restaurant sector are examined. There appears to be challenges unique to SMEs within this sector (e.g. resource constraints and poor reputation) that can potentially result in a loss of competitive advantage. Therefore, research aligned within this context is an issue of importance.

This paper draws primarily upon semi-structured interviews with five entrepreneurial owner-managers of SMEs in the hotel and restaurant sector. An inductive thematic analysis identified main themes that emerged from the interview data.

Findings revealed that there is a clear commitment towards training and development for employees; however, this initiative is primarily driven by employees identifying their own training needs. The ad hoc TM practices are largely influenced by day-to-day business pressures because of the nature of the hospitality industry. The absence of formalised TM practices, however, does not imply the lack of strategies in place for people management and development.

This paper aims to develop a better understanding of practitioners’ perceptions of TM, strategic TM practices that they may or may not adopt and current TM challenges that they encounter. Key issues relating to defining, attracting, retaining and developing talent are discussed, followed by several practical recommendations.

This paper examines a relatively under-researched yet significant sector of the hospitality industry and provides deeper insights into the dynamics of TM in SMEs.

The Method section of research articles offers an important space for researchers to describe their research processes and research objects they utilize. To understand the relationship between these research materials and their representations in scientific publications, this paper offers a quantitative examination of the citation contexts of the most frequently cited references in the Method section of the paper sample, many of which belong to the category of research material objects.

In this research, the authors assessed the extent to which these references appear in the Method section, which is regarded as an indicator of the instrumentality of the reference. The authors also examined how this central measurement is connected to its other citation contexts, such as key linguistic attributes and verbs that are used in citation sentences.

The authors found that a series of key linguistic attributes can be used to predict the instrumentality of a reference. The use of self-mention phrases and the readability score of the citances are especially strong predictors, along with boosters and hedges, the two measurements that were not included in the final model.

This research focuses on a single research domain, psychology, which limits the understanding of how research material objects are cited in different research domains or interdisciplinary research contexts. Moreover, this research is based on 200 frequently cited references, which are unable to represent all references cited in psychological publications.

With the identified relationship between instrumental citation contexts and other characteristics of citation sentences, this research opens the possibility of more accurately identifying research material objects from scientific references, the most accessible scholarly data.

This is the first large-scale, quantitative analysis of the linguistic features of citations to research material objects. This study offers important baseline results for future studies focusing on scientific instruments, an increasingly important type of object involved in scientific research.

The peer review history for this article is available at: 10.1108/OIR-03-2021-0171

As social network sites (SNS) have increasingly become one of the most important channels for communication, the related privacy issues gain more and more attention in both industry and academic research fields. This study aims to connect the antecedents of information privacy disclosure on SNS.

Based on exchange theory, this study tries to investigate the decision-making process for information privacy disclosure on SNS. Factors from both user’s and website’s perspectives are taken into account in the proposed model.

The results suggest that an individual’s perceived benefits will increase their willingness to disclose information privacy on SNS, but perceived risks decrease this kind of willingness. The authors also find social network size, personal innovativeness and incentive provision positively affect people’s perceived benefits.

Moreover, privacy invasion experience enhances perceived personal risks, but website reputation helps to reduce perceived risks.

Research objects, such as datasets and classification standards, are difficult to be incorporated into a document-centric framework of citations, which relies on unique citable works. The Diagnostic and Statistical Manual for Mental Disorder (DSM)—a dominant classification scheme used for mental disorder diagnosis—however provides a unique lens on examining citations to a research object, given that it straddles the boundaries as a single research object with changing manifestations.

Using over 180,000 citations received by the DSM, this paper analyzes how the citation history of DSM is represented by its various versions, and how it is cited in different knowledge domains as an important boundary object.

It shows that all recent DSM versions exhibit a similar citation cascading pattern, which is characterized by a strong replacement effect between two successive versions. Moreover, the shift of the disciplinary contexts of DSM citations can be largely explained by different DSM versions as distinct epistemic objects.

Based on these results, the authors argue that all DSM versions should be treated as a series of connected but distinct citable objects. The work closes with a discussion of the ways in which the existing scholarly infrastructure can be reconfigured to acknowledge and trace a broader array of research objects.

This paper connects quantitative methods and an important sociological concept, i.e. boundary object, to offer deeper insights into the scholarly communication system. Moreover, this work also evaluates how versioning, as a significant yet overlooked attribute of information resources, influenced the citation patterns of citable objects, which will contribute to more material-oriented scientific infrastructures.

This paper aims to present a new design for removable partial dentures (RPDs) for partially edentulous patients to improve the efficiency and quality of RPD manufacturing. Additive and subtractive manufacturing technologies and zirconium silicate micro-ceramic bonding in the aesthetic zone are used herein.

A case was presented. First, RPD digital definitive casts were acquired, and then digital frameworks with crown retainers and digital crowns were obtained by computer-aided design (CAD). The titanium alloy frameworks and resin crowns were fabricated by three-dimensional (3D) printing and computer-aided manufacturing (CAM) processes, respectively. The crowns adhered to the crown retainers. Ceramage bonding was used to reform the gingival anatomy in the aesthetic zone during the fabrication of the RPDs. The finished RPDs were assessed by a clinician and delivered to the patient.

The RPDs were conventionally assessed by a clinician, were deemed to be accurate and satisfied both the patient and clinician.

This novel method provides a way to fabricate RPDs with a combination of additive and subtractive manufacturing technologies. The design of the framework was different from that of a conventional framework because it contained the crown retainers, and the traditional base retainer no longer existed. Ceramage bonding was used to replicate the gingival anatomy in the aesthetic zone. The new RPDs provided accuracy and were less time-consuming to produce than those produced with the traditional method. The new method enables the digital manufacturing of nearly the entire RPDs.

No studies in the extant literature have explored the role of media richness, i.e., the ability of media to enhance understanding among communication partners in a timely manner, in determining customer loyalty to mobile instant messaging (MIM). Grounded in media richness theory, the purpose of this paper is to examine how media richness influences customer perceived values, consequently contributing to customer loyalty to MIM.

Collecting data by an online survey, the authors apply partial least square procedures for hypothesis testing.

The authors obtain the following findings: multiple cues are positively related to functional value; immediate feedback is positively related to social value; personal focus is positively related to self-expressive value; language variety is positively related to all the above values that lead to user loyalty; and language variety has the strongest effect on user loyalty to MIM.

A first attempt to examine the impact of media richness on user loyalty to MIM, this study provides insights for MIM service providers to make decisions to build loyal user bases.

Push notification service (PNS) is an important approach to distribute personalized information to users timely and is getting more and more popular. However, users' privacy concerns are a major inhibiting factor in their continuance usage of PNS. This study investigates the effect of privacy protection functions provided by PNS sites in enhancing users' perceived fairness on the basis of justice theory to mitigate users' concerns of information privacy. The mechanism underlying such influence on users' continuance usage of PNS comprises privacy concern and privacy-control self-efficacy.

Four scenario-based surveys are conducted to test the proposed hypotheses. The authors test the research model with a sample of 360 participants by ANOVA and PLS.

Results show that the proposed privacy protection functions have direct positive effects on users' privacy-control self-efficacy, negative effects on privacy concern and indirectly affect their continuance usage of PNS. Furthermore, the interaction effects between two approaches have different impacts on users' privacy concern and privacy-control self-efficacy.

This study provides some suggestions and guidance for PNS providers to design effective privacy protection technologies.

With the increasing spread of ontologies in various domains, units have gradually become an essential part of ontologies and units ontologies have been developed to offer a better expression ability for the practical usage. From the perspectives of architecture, comparison and reuse, the purpose of this paper is to provide a comprehensive survey on four mainstream units ontologies: quantity-unit-dimension-type, quantities, units, dimensions and values, ontology of units of measure and units ontology (UO) of the open biomedical ontologies, in order to address well the state of the art and the reuse strategies of the UO.

An architecture of units ontologies is presented, in which the relations between key factors (i.e. units of measure, quantity and dimension) are discussed. The criteria for comparing units ontologies are developed from the perspectives of organizational structure, pattern design and application scenario. Then, the authors compare four typical units ontologies based on the proposed comparison criteria. Furthermore, how to reuse these units ontologies is discussed in materials science domain by utilizing two reuse strategies of partial reference and complete reference.

Units ontologies have attracted high attention in the scientific domain. Based on the comparison of four popular units ontologies, this paper finds that different units ontologies have different design features from the perspectives of basis structure, units conversion and axioms design; a UO is better to be applied to the application areas that satisfy its design features; and many challenges remain to be done in the future research of the UO.

This paper makes an extensive review on units ontologies, by defining the comparison criteria and discussing the reuse strategies in the materials domain. Based on this investigation, guidelines are summarized for the selection and reuse of units ontologies.

The purpose of this paper is to compare the pricing decisions and earning potential of the software supplier and the smart device manufacturer in different software promotion strategies.

Based on game theory, the authors formulate two promotion models, that is, the supplier implements software promotion activities individually (SP model) or outsources the promotion activity to the manufacturer under profit-sharing contract (MP model) when taking different channel power structures into consideration. Besides, in order to test the robustness of the conclusions, the authors also extend the basic model to the following situations: (1) the customers have different price elasticity toward service fee and product price; (2) the revenue sharing contract is employed by the supply chain members; and (3) the manufacturer's product promotion practice is taken into consideration.

The optimal service fee (product price) of the supplier (manufacturer) under SP model is always lower (higher) than that under MP model. Surprisingly, if the supplier is the channel leader and the profit sharing ratio exceeds certain threshold, the manufacturer's profit decreases in profit sharing ratio, which remains robust in three extension models. Moreover, the supply chain's profit in supplier-led game is always lower than that in Nash game irrespective of the promotion strategy in profit sharing context. When revenue sharing contract is adopted, the result holds only when the revenue sharing ratio is relatively low.

The authors originally explore two promotion strategies of the software supplier when taking the channel power structures into considerations, which has not been explored in the literature to the best of the authors' knowledge.

In this paper, the authors aim to study the optimal strategy of original equipment manufacturers (OEMs) considering both consumer segmentation and upward substitution of remanufactured products in the product life cycle.

In this paper, the authors develop two remanufacturing models: the OEM remanufacturing model and the authorized remanufacturing model. Then, the authors study the impact of both green consumers' scale and the product life cycle expressed as the market growth rate on the OEM's optimal decision-making. Therefore, the authors derive the optimal solutions of the two models by using game theory.

The authors find that in the case of low market growth rate, when there only exist ordinary consumers, if the substitutability of remanufactured products produced by the OEM is below one threshold or above another threshold, the OEM can obtain higher profit in the OEM remanufacturing model, and vice versa. If the substitutability of remanufactured products produced by the OEM is below a threshold when there are both ordinary and green consumers, the OEM prefers the authorized remanufacturing model; and vice versa. Moreover, in the case of high market growth rate, the OEM prefers the OEM remanufacturing model only when the substitution-level in OEM remanufacturing model is above a threshold.

The present study fills the gap in existing researches by simultaneously discussing product life cycle and green consumers' scale. The authors provide manufacturers with a new basis for remanufacturing decisions.