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Regulatory initiatives and related technological shifts have been imposing restrictions on data-driven marketing (DDM) practices. This paper aims to find the main restrictions for DDM and the key management theories applied to investigate the consequences of these restrictions.

The authors conducted a unified bibliometric analysis with 104 publications retrieved from both Scopus and Web of Science, followed by a qualitative, in-depth systematic literature review to identify the management theories in literature and inform a research agenda.

The fragmentation of the research outcomes was overcome by the identification of 3 main clusters and 11 management theories that structured 18 questions for future research.

To the best of the authors’ knowledge, this paper sets for the first time a frontier between almost three decades where DDM evolved with no significative restrictions, grounded on innovations and market autoregulation, and an era where data privacy, anti-trust and competition and data sovereignty regulations converge to impose structural changes, requiring scholars and practitioners to rethink the roles of data at the strategic level of the firm.

This study explores the differences between digital immigrants (DIs) and digital natives (DNs) in the continuance of routine and innovative information system use.

A quantitative survey was conducted with two different samples comprising 100 DIs and 152 DNs in mandatory information system use contexts. Data were analyzed with structural equation modeling to examine the hypothesized relationships in the research model.

Results revealed differences among digital nativity groups. The effect of confirmation of expectations about system use on satisfaction is stronger for DNs whereas the effect on task–technology fit (TTF) is similar in both digital groups. Interestingly, significant differences between digital nativity groups occur in routine use. For DIs, TTF and habit are significant while for DNs, satisfaction significantly affects routine use. The results show no difference between digital native groups regarding innovative use.

This study extends the concept of digital nativity to routine and innovative system use, contributing to an enhanced understanding about the differences in information systems continuance (ISC) based on digital nativity. It also provides a fine-grained discussion of how to classify digital nativity and its impact in working contexts and extends the IS continuance model by considering two types of IS usage.

The adoption of information systems (IS) by small- and medium-sized enterprises (SME) leads to the acquisition of new competencies and relative advantages. In some cases, the decision to adopt IS results from legal obligations that companies must comply with. This paper aims to assess the effect of the mandatory digital transmission of documents to the tax and customs authority on the decision to adopt IS by SMEs.

The authors propose a research model to analyze the antecedents of IS adoption and the relationship between that adoption and the development of new competencies and the consequent relative advantages. Based on the data from 94 European SMEs, this paper tests the research model with a partial least squares approach.

The findings show that companies decide to adopt IS due to their obligations for tax compliance. However, while some companies decide to adopt basic IS just to comply with the transmission of documents, others decided to implement more complex systems to satisfy wider company needs.

Due to time constraints, the characteristics of the respondents such as their sector of activity, the sensitivity of companies and entrepreneurs to IS, their geographic distribution or years of activity were not studied. As mentioned above it is important to investigate further the characteristics of the companies and their differentiation factors between those who only invest to reduce costs and those that see IS as a differentiating factor. This factor could be a source of information to study the company and its environment that is very useful in increasingly competitive markets.

This study is important because it shows managers the possible ways of thinking that can guide their investment decisions and whether these will lead them to face future challenges.

For researchers, this paper shows how a change in the law may have an effect on decisions to adopt technology and how existing theories can be applied to study the effects of changes in the law.

This paper aims to report on the author's recent research examining the meaning and practices of educating for solidarity, specifically from anti‐racism and decolonizing perspective. The research is part of the critical exploration on new educational approaches on solidarity building among workers and trade union members in the broader political and economic context of neoliberalism.

Utilizing the research methodologies of participatory action research, arts‐informed research and critical autobiography, the research draws on the words and visual images made by the participants who are labour educators and activists from Aboriginal and racialized communities. In‐depth interview and the Aboriginal talking circle method were used to deepen the dialogue among this group of activists. By focusing on their authentic voices and lived experiences, the research is grounded in Dei's stance on the importance of the embodied knowledge as part of the necessary conditions for anti‐racism education work and political action.

The findings reveal a sense of profound gap between what participants experience as daily practices of solidarity and what they envisioned. Through the research process, the study explores and demonstrates the importance and potential of a more holistic and integrative critical labour education approach on anti‐racism and decolonization. The study proposes a pedagogical framework on solidarity building with four interlinking components – rediscovering, restoring, reimagining and reclaiming – as a way to make whole.

A further research implication will be to explore the possibility and application of this proposed pedagogical framework with a group of trade union activists from racialized and non‐racialized backgrounds.

The pedagogy of solidarity offers a transformative process for activists to engage in critical dialogue on how to build solidarity across constituencies. The solidarity circle dialogue process provides a space for critical reflection.

This is an original research integrating Aboriginal worldview and arts‐informed research, to explore the potential of a new pedagogy that is grounded in restoring people's spirit, recovering their voices so they can have the courage to reimagine; and reclaim in order to make whole. The value of the research lies in its hopefulness as a tool of countering the politics of division and fear.

This article aims to examine how InterContinental Hotels plans to cope with the skill shortage in the hospitality industry, given the company's plans to open more than one new hotel a day for the next three to five years.

Concentrates on the picture in China, where InterContinental Hotels plans 107 new hotels.

Highlights the activities of the InterContinental Hotels Academy, in which the company teams up with academic institutions to offer tailored education and on‐the‐job training for recruits to the hospitality industry. Also describes the company's recruitment and training in the Americas and the UK, where its initiatives to recruit more disabled employees have been rewarded.

Reveals that only half of recent graduates from hotel‐related courses in China have moved on to work in hotels and there is a high turnover among new graduates. Employees from other industries rarely seek to work in the hotel business. There is a skill and training gap in China among front‐line hotel workers such as front‐desk and restaurant staff, as well as key executive positions in HR, finance and sales. The talent pool of executives with experience of working in multinational companies is small and highly sought after.

Contends that a sustainable and qualified talent pool is a crucial factor for InterContinental Hotels and for the development of the entire hospitality industry in China.

The purpose of this paper is to define objectives for Customer Relationship Management (CRM) system adoption. The objectives provide a theoretical basis for strategizing about CRM system adoption. The objectives also provide managers to clearly direct CRM system adoption, thus ensuring a highly successful outcome.

The authors conducted a sequential multi-method research in Europe. The initial qualitative phase constituted 62 in-depth interviews. Using Keeney’s (1992) value-focused thinking approach, the authors defined 102 CRM system adoption objectives. Quantitative purification techniques, using a sample of 210 organisations, a more parsimonious set of objectives were developed. The complete set of objectives were classified into fundamental and means objectives.

Results present three fundamental and three means objectives. These objectives allow for successful CRM system adoption. The three fundamental objectives are: maximise CRM organisational culture; ensure an effective relationship with CRM providers; and minimise CRM project risks. The three means objectives are: maximise CRM usage, maximise relational marketing capabilities, maximise CRM orientation.

This study provides strategic objectives that can be used by companies to plan adoption of a CRM system. Hence the fundamental and means objectives take the form a strategic planning template.

Although technology adoption has been well researched and has also been extended to address CRM systems, the focus has largely been behavioural. The strategic objectives for CRM system adoption, presented in this paper, are novel. Objectives enable decision making and resource planning. The combination of fundamental and means objectives provide a theoretical basis for ensuring successful CRM system adoption.

In the theoretical derivation of the anisotropic model of the woven fabric, Kilby (1963) achieved the symmetric anisotropy model. Yet, in practice, the warp behavior of a woven fabric is rarely identical to the weft behavior, even in the case of plain weave fabric of identical yarns in both warp and weft directions because of the manufacturing process. The closed form analytic solution of the asymmetric anisotropic behaviour is very difficult to find for real fabric, due to its nonlinear properties. Therefore, it is important to derive an efficient and accurate method to approximate the nonlinear fabric anisotropy. This paper discusses the issue of incorporating the tensile fabric properties and the bias angle effect into a bilinear stress-strain model. The stress-strain relationship is divided into two regions, below and above the elastic limit. Within each region, a basis function, based on three data points, is used to approximate the angular effect. The advantages of this method include: (1) its simplicity, (2) robust 2-step lookup operation to obtain the answer, (3) full coverage of both linear and nonlinear elastic regions, and (4) ability to achieve high degree of accuracy with only three data points.

The purpose of this paper is to present recent work for optimizing the estimation of ease allowance of a garment using fuzzy logic and sensory evaluation.

The current method first generates a number of fuzzy models each corresponding to one specific key body part and one specific wearer's movement and then aggregates all the values of ease allowance generated from these fuzzy models using the ordered weighted averaging (OWA) operator. The aggregated ease allowance takes into account geometric measures on all representative human bodies, comfort sensations of wearers related to all movements or actions and different styles of trousers (tight, normal and loose). The weights of the OWA operator can be used to adjust the compromise between the style of garments and the comfort sensation of wearers. The related weights of the OWA operator are automatically determined according to designer's linguistic criteria characterizing the relationship between wearer's movements and the features of the garment to be designed.

Based on the optimized values of ease allowance generated from fuzzy models related to different key body positions and different wearer's movements, the authors obtain a personalized ease allowance, permitting to further improve the wearer's fitting perception of a garment. The effectiveness of the method has been validated in the design of trousers of jean type. It can also be applied for designing other types of garment.

Integration of wearer's body shapes and human comfort in the design of personalized garments.

This study aims to investigate how artificial intelligence (AI)-powered smart home devices affect young consumers' requirements for convenience, support, security and monitoring, as well as their ability to advance environmental sustainability. This study also examines the variables that impact users' motivation to use AI-powered smart home devices, such as perceived value, ease of use, social presence, identity, technology security and the moderating impact of trust.

The responses from residents of Sarawak, Malaysia, were collected through online questionnaires. This study aimed to examine the perceptions of millennials and zillennials towards their trust and adoption of AI-powered devices. This study used a quantitative approach, and the relationships among the study constructs were analysed using partial least squares - structural equation modelling.

The present study found that perceived usefulness, ease of use and social presence were the main motivators among actual and potential users of smart home devices, especially in determining their intentions to use and actual usage. Additionally, there was a moderating effect of trust on the relationship between perceived ease of use, social presence, social identity and intention to use AI-powered devices in smart homes.

To the best of the authors’ knowledge, this is one of the first studies to examine the factors influencing smart technology adoption. This study provided meaningful insights on the development of strategies for the key stakeholders to enhance the adoption and usage of AI-powered smart home devices in Sarawak, one of the promising Borneo states. Additionally, this study contributed to the growing body of knowledge on the associations between technology acceptance model dimensions, intention and actual usage of smart technology, with the moderating impact of trust.