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This article aims to empirically investigate the influence of socio-cultural and political factors and actors on the perceived autonomy and control of state agencies in Pakistan. Taking an institutional perspective, which envisages a diverse course of agency reforms, owed to varied national cultures, historical paths and traditional mindsets, the authors argue that the institutional theory provides an explanation to the autonomy and control status of the agencies.

Data were collected from 39 senior public officials and governing board members in federal agencies by conducting in-depth semi-structured interviews. Thematic analysis was performed using NVivo-12 for data analysis.

The results disclose that the agencies operate within an overriding politico-administrative culture of intervention and supremacy of the central government. There is a close relationship between the political actors and actors' implementing agents, the bureaucrats. Although the disaggregated public agencies are created under the agency model, a culture of political influence and control still prevails within them. Among the socio-cultural factors, corruption is reported as a critical influencing factor for agency autonomy.

The study emphasizes the need to adapt and modify agencification practices in developing countries based on the political, socio-cultural and administrative contextual factors and actors and the varying degrees of influence the practices exercise over the Government machinery.

This study unveils the implications of the new public management (NPM)-led agency model in Pakistan, which was primarily adopted as a part of the structural adjustment program (SAP) under loan conditionality from international donor agencies and explores the indigenous doctrines that govern agencies functioning under ministries.

This paper aims to give a picture of maintenance management in Italian manufacturing firms supported by empirical evidence. The purpose is also to highlight how far maintenance performance and strategies are influenced by context and which measures and goals are within reach of small‐sized firms.

Frameworks for describing maintenance management and strategies derived from literature were reviewed and used to develop a questionnaire. A survey‐based empirical research involving a sample of 100 manufacturing firms was performed. Non‐parametric statistics are applied to highlight correlations and dependencies between contextual variables, maintenance strategies and performance.

Maintenance performance hardly seems a matter of size, while many elements of strategy certainly are. Some elements of strategy, in particular planning and control elements, seem to have little impact on performance. By contrast, an enhanced use of preventive maintenance and, above all, of condition‐based maintenance is demonstrated to be a highly effective action for maintenance improvement applicable to firms of all size.

The research may help managers to decide on maintenance strategic variables by deducing from the experience of many different firms whether, and how, strategies affect maintenance performance.

Besides giving a country's portrait, the empirical research addresses the links between strategies, context and performance, thereby understanding strategy in a broad sense and not just in terms of maintenance policies and concepts. In particular, the maintenance practices of small enterprises with fewer than 50 employees are studied, which has rarely been done in the literature.

Tags are used to annotate resources on social media platforms. Most tag recommendation methods use popular tags, but in the case of new resources that are as yet untagged (the cold start problem), popularity-based tag recommendation methods fail to work. The purpose of this paper is to propose a novel model for tag recommendation called multi-feature space latent Dirichlet allocation (MFS-LDA) for cold start problem.

MFS-LDA is a novel latent Dirichlet allocation (LDA)-based model which exploits multiple feature spaces (title, contents, and tags) for recommending tags. Exploiting multiple feature spaces allows MFS-LDA to recommend tags even if data from a feature space is missing (the cold start problem).

Evaluation of a publicly available data set consisting of around 20,000 Wikipedia articles that are tagged on a social bookmarking website shows a significant improvement over existing LDA-based tag recommendation methods.

The originality of MFS-LDA lies in segregation of features for removing bias toward dominant features and in synchronization of multiple feature space for tag recommendation.

This study aims to analyze the efficiency of banks under board gender diversity and to examine the determinants of bank efficiency.

Data for analysis were sourced from annual reports of 21 banks for the period from 2009 to 2017. A two-step framework was used: first, an examination of efficiency scores with and without board gender diversity computed using data envelopment analysis; and second, a regression of board gender diversity as a determinant of bank efficiency using panel estimation on an unbalanced panel data.

The results reveal that gender diversity promotes bank efficiency up to a maximum of two female directors on a nine-member board of directors, suggesting a threshold effect on bank efficiency. Board size improves bank efficiency. Board independence is negatively related to bank efficiency. Also, powerful chief executive officers are detrimental for bank efficiency. Finally, the authors find that ownership structure, bank size, bank age and loan-to-deposit ratio are important factors affecting bank efficiency.

All bank-year observations with no female representation on the board were excluded. As such, this paper is limited to 21 banks. Future research should look at a larger data set and account for dynamic endogeneity.

The paper contributes to bank governance structure, namely, gender composition of boards, and provides an insight for regulators and shareholders to estimate the role of men and women on boards.

The novel feature of the efficiency model used is that it incorporates board gender diversity as an additional input variable, in line with the preposition of proponent of resource dependency theory.

While servitization has been recognised for its potential to augment organizational revenue and fortify competitive advantage, the exploration of alternative servitization trajectories to the classical servitization model has been little explored in literature. Recent literature introduces the “service paradox” and presents different trajectories to the classical model, but it does not explain why a company chooses one trajectory instead of another. Therefore, this study aims to provide a model that, based on the contextual factors present, recommends which servitization trajectory the company should choose.

This study uses a combination of design science research (DSR) and context, intervention, mechanisms and outcomes (CIMO) to propose the model. An initial contextual factors list was created based on the literature, refined by the company’s employees and evaluated in three selected initiatives in the focal company. Furthermore, based on the understanding of the CIMO logic elements, four design propositions were elaborated to summarize the main findings of the study.

The study has demonstrated that the choice of a servitisation trajectory is intricately tied to a multitude of contextual factors, prompting organisations to deviate from conventional models towards alternative paths. Furthermore, the research sheds light on the underlying mechanisms and contextual drivers that shape servitisation decisions within the context of a consumer goods manufacturer. The analysis underscores the pivotal role of market dynamics and strategic adaptability in shaping servitisation strategies, underscoring the importance of customized approaches that cater to the distinct circumstances of each organisations.

The research contributes to both theory and practice by offering profound insights into the complex nature of servitisation, advocating for continuous adaptation and strategic alignment with market demands. For practitioners and decision-makers, the study provides valuable guidance on enhancing service offerings and navigating the complexities of servitisation within specific sectors, fostering a culture of learning and adaptation to drive sustainable growth.

Organizational change theorists tend to focus on substantive changes and frequently ignore or underplay the significance of the features of structural inertia. The effect of this preoccupation has minimized our understanding of frequently occurring patterns of limited structural change. The purpose of this paper is to encourage theorizing and debate about limited structural change.

This paper presents a conceptual explanation of the different patterns of limited structural change that arise in organizations undertaking change. It reviews and comments on how different patterns occur at the organization level as a result of the adjustment of component forces around pattern profiling centers of gravity.

A pervasive finding in change literature is that organizations tend to fall back on more of the same, even when they undergo some major structural change. The paper proposes a framework encapsulating four competencies that synergistically complement each other as a foundation for explaining different patterns of limited structural change.

The paper argues for advancing theory accounting for limited structural change, moving away from the dichotomy of change as normal and limited change as atypical. Normative rational change actions and bounded change actions interact and coexist in parallel. A focus on explaining limited change is a starting point for advancing our understanding of this coexistence.

The paper sets out to explore the nature and degree of variation in foresight “style” across six world regions. The underlying hypothesis is that differences in regional context – in terms of political, socio‐economic, and cultural conditions – will affect foresight “style”. At the same time, a secondary hypothesis acknowledges that policy tool transfer and international learning might soften the influence of contextual conditions.

Using the data collected for more than 800 foresight exercises in six world regions, the paper considers eight different dimensions of foresight “style”, including domain coverage, time horizon, target groups, and methods used. It interprets regional differences (and similarities) with reference to dominant political and economic traditions in each region. In so doing, it tests the hypothesis that foresight “style” is influenced by regional context.

The analysis suggests that some foresight “style” dimensions vary between regions more than others. For example, there is marked variation in the domain areas covered by foresight across the world, while some regions appear to prefer particular methods over others. Time horizons also vary. For other dimensions, such as participation levels and the identity of target groups, there is a good deal of similarity. Thus, some dimensions of “style”, at least at the aggregate level, seem to be more influenced by regional context than others.

The paper is unique in being the first publication to survey such a large sample of foresight activity across a wide part of the globe.

The aim of this paper is to investigate contextual information that has an impact on the process of selection and decision making in recommender systems (RSs) in digital libraries.

Using a grounded theory method of qualitative research, semi‐structured interviews were carried out with 22 information specialists, and IT and computer engineering students and professors. Data resulting from interviews were analysed in two stages using open coding, followed by axial and selective coding.

The central idea (concept) developed in this study, named scientific research ground (SRG), is an information ground users step into with scholarly purposes. Within SRG they start interacting with information systems. SRG has contexts which situate users in a range of situations while interacting with information systems. Users' characteristics such as purpose, activity, literacy, mental state, expectations, and assumptions, occupational and social status are some contexts that should be taken into account for making a recommendation.

This study sought to explore contextual information in the academic community and the academic contextual information cannot be generalized to RSs in other environments such as e‐commerce.

Identifying and implementing contextual information in information systems can help make better recommendations as well as improve interaction between users and information systems.

Based on the SRG idea and its contexts, a multi‐layer contextual model for a recommender system is proposed.

Managerial discourses tend to portray work-related mobility practices in a positive light, presenting mobility assignments as a place of stimulus and differentiation. A conception of mobility as an opportunity, may contrast, in specific economies and business settings, with lived personal experiences. This article reports the results of a three-year study, aimed to question how multinational companies (MNCs) located in a small and developing European economy (Portugal) are building talent pools for expatriate assignments. Interaction effects, as proposed by the job demands-resources (JD-R) theory, are considered as lens to understand the interplay of company expatriate policies, willingness profiles and psychological contracts of expatriates. By using a Portuguese sample, the study examines whether prior findings in mature economies and consolidated MNCs can be generalized to less developed international business settings.

A three-year study, encompassing 24 expatriate cases observed in five multinational firms born or located in Portugal. Two techniques of empirical data collection were used: statistical sources and documental analysis and in-depth interviews. A total of 37 interviews were conducted, both in-person and remotely, of which 13 were with company managers and representatives, and 24 with expatriates (as defined and referred like this by the companies under study).

Heterogeneous company policies, ranging from juvenile, functionalist to more dynamic and flow-based approaches, are presented as qualifying resources of willingness levels and psychological contracts of expatriates. Observed interaction effects between policies, willingness and psychological contracts, empirically mirrored in three profiles (conformist, protean and disrupted expatriates) suggest that incentive effects (emanating from company policies) and job demand-resource balance, factored as terms of social and economic trade, are non-linear and asymmetric, influencing firm propensity to succeed while using international work to support company expansion goals. As job resources, expatriate policies are presented as operating as pull or push factors: functionalist HR approaches seem to act as push factors generating more conformist or compelled willingness profiles.

Generalization of study's outcomes has limitations. Future studies are encouraged to use comparative and longitudinal research designs. Furthermore, future research should include business expatriates with entry-level positions, and increase the number of interviewees, as results can also be considered as limited by sample size.

It is suggested that further strategic work is needed to present expatriation development value, formally screen and consider willingness level as selection criteria, and enlarge the pool (from internal to external) of candidates, in peripheral economic settings such as Portugal. A shift to more dynamic and job resource-dense policies are suggested as beneficial, as pathway to optimize social and economic value from expatriation assignments and work experiences.

By putting the interplay between macro and micro-level processes into perspective, the study provides empirical evidence on how company expatriate policies have come to promote unforeseen differentiation of employee willingness and psychological contracts at the heart of MNCs. This is particularly relevant in developing economies such as Portugal, challenging the need to build talent pools for international work assignments. Empirical data illustrating company policies interactive effects with different willingness profiles and psychological contracts of expatriates is provided.

The purpose of this paper is to combine service science (service science, management and engineering, and SSME) and service dominant (S‐D) logic contributions with the network and systems‐based theories of many‐to‐many marketing proposed by Gummesson and the viable system approach (VSA), proposed by Italian researchers and highly diffused in Italy during the 2000s.

This paper is a conceptual analysis based on recent developments in service science, S‐D logic and network/systems theory.

Being grounded in network theory, systems thinking and value co‐creation, many‐to‐many marketing is found to be particularly supportive to both service science and S‐D logic. It is also found that VSA, being broad, interdisciplinary and based on systems theory and resource‐based theory, and with strong influences from biology, sociology and mechanics, is a key to the interpretation of complex phenomena. Both many‐to‐many and VSA embrace the whole and the general while still considering the detail and its contextual dependency. Both theories are highly suitable for analysing and designing service systems.

The network and systemic approach to business offer by many‐to‐many marketing and VSA and applicable to service and the value creation, relationship management and business finalities, are strongly coherent with the one proposed or tacitly implied by service science and S‐D logic.

The paper helps practitioners to better manage service and to enable efficient behaviour within multiple contexts with multiple actors and optimising inter‐systemic relations.

This is believed to be the only paper to apply network theories and the VSA perspective on service.