Search results

In recent years, centrality measures have been extensively used to analyze real-world complex networks. Water distribution networks (WDNs), as a good example of complex networks, exhibit properties not shared by other networks. This raises concerns about the effectiveness of applying the classical centrality measures to these networks. The purpose of this paper is to generate a new centrality measure in order to stick more closely to WDNs features.

This work refines the traditional betweenness centrality by adding a hydraulic-based weighting factor in order to improve its fit with the WDNs features. Rather than an exclusive focus on the network topology, as does the betweenness centrality, the new centrality measure reflects the importance of each node by taking into account its topological location, its demand value and the demand distribution of other nodes in the network.

Comparative analysis proves that the new centrality measure yields information that cannot be captured by closeness, betweenness and eigenvector centrality and is more accurate at ranking the importance of the nodes in WDNs.

The following practical implications emerge from the centrality analysis proposed in this work. First, the maintenance strategy driven by the new centrality analysis enables practitioners to prioritize the components in the network based on the priority ranking attributed to each node. This allows for least cost decisions to be made for implementing the preventive maintenance strategies. Second, the output of the centrality analysis proposed herein assists water utilities in identifying the effects of components failure on the network performance, which in turn can support the design and deployment of an effective risk management strategy.

The new centrality measure, proposed herein, is distinct from the conventional centrality measures. In contrast to the classical centrality metrics in which the importance of components is assessed based on a pure topological viewpoint, the proposed centrality measure integrates both topological and hydraulic attributes of WDNs and therefore is more accurate at ranking the importance of the nodes.

This chapter challenges the denial of “underconsumption” – the role of consumption demand in capitalist reproduction and its paucity in crises – in contemporary Marxism. At stake are better understandings not only of crisis theory but also, inter alia, of imperialism, “reformism,” and Marx's intellectual legacy. The chapter shows how the centrality of consumption demand is underlined in the three volumes of Capital and the Grundrisse, and goes on to discuss the origins, weaknesses, and persistence of this denial. The chapter also shows that Marx did not regard underconsumption as a moralistic argument about unfulfilled need. The denial originates not in Marx but in productionism, the idea that capitalism is a system of “production for production's sake.”

Originating in the overkill of Tugan Baranowski's refutation of the Russian populists’ view that capitalist development was impossible in Russia due to lack of a home market, productionism is based on his attempt to force Marxism into the marginalist and the general equilibrium framework. Despite its antipathy with Marxism, most contemporary Marxist economics are based on it. Inevitably its adherence to Say's Law – the denial of the possibility of gluts in the market – infects the tendency to assume that capitalism's contradictions do not lie in circulation. Productionism's denial of the importance of consumption demand also rests on nonsequiturs, nondialectical thinking, and an underestimation of the contradictions in capitalism Marx identified, other than the tendency of the rate of profit to fall. The chapter ends by showing the centrality of demand in the recent historical evolution of capitalism as reconstructed by Robert Brenner, followed by a discussion of whether underconsumption is “reformist.”

Taking a network approach, the purpose of this paper is to investigate the social antecedents of work-related engagement and exhaustion in a sample of Dutch healthcare workers, examining how employees’ structural position in the team (i.e. their centrality in the network) is associated with their engagement and exhaustion. Distinctions are made between instrumental networks (i.e. structural dependencies) and expressive networks (i.e. emotional connectedness through friendships).

Associations between job characteristics (quantitative demands, emotional demands and influence) and employees’ centrality in the instrumental and expressive networks at work with their self-reported engagement and exhaustion were examined. Network centrality was assessed though a sociometric survey by the total number of nominations each employee received (in-degree centrality) or gave (out-degree centrality) and for both networks separately.

The results show that whereas job characteristics but not network centrality were associated with exhaustion, network centrality in the expressive network but not job characteristics was associated with engagement. In-degree centrality (being nominated by many co-workers as a friend) was positively associated with engagement, whereas out-degree centrality (nominating many co-workers as a friend) was negatively associated with engagement.

The results support recent findings concerning more multifaceted antecedents of engagement and exhaustion, and underline the importance considering social network characteristics in investigations of work engagement. On a methodological level, the differing results for in-degree and out-degree centrality underline the importance of not only relying on self-reported social relationships but to also capture other-reported data.

This paper aims to shed light on the linkage between research and development (R&D) networks and public funding presented in a given period by using network-based evaluation tools as a means of exploring the relational dimension in public projects designed to foster technology R&D activities.

This research uses co-occurrence network analysis of relevant public projects to assess how technological associations might occur within the R&D activities of given publicly funded projects as well as conducts correlation analysis to understand the extent to which linkages of R&D activity in technology fields are related to public expenditure.

Core technology fields, regarded as eligible to receive continued public funding, are critical for enhancing competitiveness and sustainable growth at the nationally strategic technology level. Thus, the relationship between R&D and the level of government funding for these fields is generally perceived as strong. However, a few technology fields, which did not actively form specific network relationships with other technology fields, are considered to exceptionally drive the largest government support. This trend indicates that the government-funded R&D should be designed and managed not only to curb the inefficiencies existing in the current funding programs but also to achieve the appropriateness for further technology development.

Despite the comprehensive findings, this study has several limitations. First, it is difficult to control any confounding factors, such as the determinants and constraints of the government budget allocation and expenditure decisions over S&T areas, strategic frameworks for public investment and evolving policy landscapes in technology sectors, which lead to bias in the study results. Second, this study is based on a narrow, single-year data set of a specific field of projects supported by the Korean government’s R&D program. Therefore, the generalization of findings may be limited. The authors assumed that influences caused by confounding variables during the initial phase of the public funding schemes would not be significant, but they did not take into account possible factors that might arise coincident with the subsequent phase changes. As such, the issue of confounding variables needs to be carefully considered in research design to provide alternative explanations for the results that have been ruled out. The limitations of this study, therefore, could be overcome by comparing the outcome difference between subsidized and non-subsidized R&D projects or evaluating targeted funding schemes or tax incentives that support and promote various areas of R&D with sufficiently large, evidence-based data sets. Also, future research must identify and analyze the R&D activities concerning public support programs performed in other countries associated with strategic priorities to provide more profound insight into how they differ. Third, there are some drawbacks to using these principal investigators-provided classification codes, such as subjectivity, inaccuracy and non-representation. These limitations may be addressed by using content-based representations of the projects rather than using pre-defined codes. Finally, the role that government investment in R&D has played in developing new science and manufacturing technologies of materials and components through network relationships could be better examined using longitudinal analysis. Furthermore, the findings suggest the need for further research to integrate econometric models of performance outcomes such as input–output relations into the network analysis for analyzing the flow of resources and activities between R&D sectors in a national economy. Therefore, future research would be helpful in developing a methodological strategy that could analyze temporal trends in the identification of the effects of public funding on the performance of R&D activity and demand.

Public funding schemes and their intended R&D relationships still depend on a framework to generate the right circumstances for leading and promoting coordinated R&D activities while strengthening research capacity to enhance the competitiveness of technologies. Each technology field has a relatively important role in R&D development that should be effectively managed and supervised to accomplish its intended goals of R&D budgeting. Thus, when designing and managing R&D funding schemes and strategy-driven R&D relations, potential benefits and costs of using resources from each technology field should be defined and measured. In this regard, government-funded R&D activities should be designed to develop or accommodate a coordinated program evaluation, to be able to examine the extent to which public funding is achieving its objectives of fostering R&D networks, balancing the purpose of government funding against the needs of researchers and technology sectors. In this sense, the examination of public R&D relations provides a platform for discussion of relational network structures characterizing R&D activities, the strategic direction and priorities for budget allocation of the R&D projects. It also indicates the methodological basis for addressing the impact of public funding for R&D activities on the overall performance of technology fields.

The value of this work lies in a preliminary exploratory analysis that provides a high-level snapshot of the areas of metallurgy, polymers/chemistry/fibers and ceramics, funded by the Korean Government in 2016 to promote technological competitiveness by encouraging industries to maintain and expand their competencies.

This paper aims to analyze the research highlights, evolutionary process and future research directions in the field of tourism forecasting.

This study used CiteSpace to conduct a bibliometric analysis of 1,213 tourism forecasting articles.

The results show that tourism forecasting research has experienced three stages. The institutional collaboration includes transnational collaboration and domestic institutional collaboration. Collaboration between countries still needs to be strengthened. The authors’ collaboration is mainly based on on-campus collaboration. Articles with high co-citation are primarily published in core tourism journals and other relevant publications. The research content mainly pertains to tourism demand, revenue management, hotel demand and tourist volumes. Ex ante forecasting during the COVID-19 pandemic has broadened existing tourism forecasting research. The future forecasting research focuses on the rational use of big data, improving the accuracy of models and enhancing the credibility of forecasting results.

This paper uses CiteSpace to analyze tourism forecasting articles to obtain future research trends, which supplements existing research and provides directions for future research.

本文旨在分析旅游预测领域的研究重点、演化过程和未来的研究方向。

本研究使用 CiteSpace 软件对 1213 篇旅游预测文章进行了文 献计量学分析。

结果表明, 旅游预测研究经历三个阶段。机构合作包含国际机构合作和 国内机构合作, 需要持续加强国家之间的合作, 作者之间的合作多以校内合作为 主。高引用文章不仅发表在旅游领域的核心期刊还发表在其他专业的核心期刊上。 旅游预测研究的主要内容为旅游需求、收入管理、酒店需求和游客量。新冠疫情 期间的事前预测拓宽了现有的旅游预测研究。未来预测的研究重点在于合理利用 大数据, 提高模型的准确定以及提高预测结果的可信度。

本文使用 CiteSpace 分析旅游预测文章得到未来研究趋势, 既是对 现有研究的补充, 又为今后的研究提供方向。

Este artículo pretende analizar los aspectos más destacados de la investigación, el proceso evolutivo y las futuras orientaciones de la investigación en el campo de la previsión turística.

Este estudio utilizó CiteSpace para realizar un análisis bibliométrico de 1213 artículos sobre previsión turística.

Los resultados muestran que la investigación sobre previsión turística ha experimentado tres etapas. La colaboración institucional incluye la colaboración transnacional y la colaboración institucional nacional. La colaboración entre países aún debe reforzarse. La colaboración entre autores se basa principalmente en la colaboración dentro del campus. Los artículos con una alta cocitación se publican principalmente en las principales revistas de turismo y en otras publicaciones relevantes. El contenido de la investigación se refiere principalmente a la demanda turística, el revenue management, la demanda hotelera y los volúmenes turísticos. La previsión previa y durante la pandemia de la COVID-19 ha ampliado la investigación existente sobre previsión turística. La futura investigación sobre previsiones se centra en el uso racional de los big data, la mejora de la precisión de los modelos y el aumento de la credibilidad de los resultados de las previsiones.

Este artículo utiliza CiteSpace para analizar artículos de previsión turística con el fin de obtener futuras tendencias de investigación, lo que complementa la investigación existente y proporciona orientaciones para futuras investigaciones.

Professional service entrepreneurs (PSEs) paradoxically practice their profession in highly institutionalized contexts that require intense socialization, while also enacting another role as an entrepreneur. Activities consistent with entrepreneurship may be unnecessary for – and possibly contradictory with – activities consistent with professional roles. The purpose of this paper is to address the question of how two highly important role identities (professional and entrepreneurial) relate to entrepreneurial orientation (EO) in professional firms.

Using a survey methodology, the authors measure entrepreneurial and professional role identity importance, and PSE’s perceptions of firm-level EO, using a sample of 138 medical practitioners who own and operate their own small-to medium-sized professional practices. In this paper, the authors examine the associations of the importance of these identities, and the relative importance of one to another, with EO.

The authors find that a PSE’s entrepreneurial role identity importance is positively related to the EO dimensions of risk taking and innovativeness, while professional role identity importance is negatively related to risk taking. Additionally, the authors find that the degree of relative importance (centrality) of an entrepreneurial role identity to a professional role identity is related positively to the EO dimensions of risk taking, innovativeness, and proactiveness.

This is a cross-sectional study. As such, the authors examine associations rather than a process. The sample is limited to professional medical practitioners in the USA who own and operate their own practices.

This paper helps to better understand why some professional firms are more entrepreneurial than others. The findings suggest that, even in the conservative context of professional services, the PSEs entrepreneurial role centrality is consistent with the EO of the firm’s strategies.

The purpose of this brief paper is to introduce the papers in this special issue of Journal of Managerial Psychology, focused on “Complexities and challenges in the work‐family interface”.

The paper first introduces the theme of the special issue, and a brief outline of each paper contained in it is given.

There is concern that progress in the work‐family research area has been somewhat restricted and may have failed to take sufficient account of the complexity of work‐family issues.

The literature on the work‐family interface is complex, and theory in the field is uncertain and under‐developed. The papers in this special issue should further understanding of the challenges and complexities underscoring the work‐family interface.

Digital business platforms (DBPs) such as Alibaba and Google Shopping are partnership networks that use the Internet to bring service providers (e.g. retail vendors) and customers together. One of the benefits of DBPs is network effects, in which customers can purchase from multiple providers, giving rise to a unique network. However, few studies have explored which service providers benefit from network effects and which do not.

Using the theories of transaction costs and network analysis, the authors apply network models to DBPs to understand which service providers benefit from network effects.

The authors identify three segments of service providers: (1) those with high prominence (connection to providers with high network centrality), (2) those with high network constraint (adjacent to isolated providers) and (3) those with low prominence and constraint. The authors find that segments (1) and (3) benefit from reciprocated customer exchanges, and thus benefit from network effects, while high constraint segment (2) providers do not benefit from reciprocated exchanges. Moreover, the authors find that for segments (2) and (3) future sales have a negative association with unreciprocated customer exchanges, while segment (1) has no significant association between unreciprocated exchanges and future sales.

The authors discuss implications for a multisided platform (MSP), as it decides which service providers to attract, promote and recommend. They can use this study’s results to know which segments of providers will increase network effects to make the platform more valuable.

This paper provides managers of service platforms with strategies for managing relations with their service providers.

Service platforms are an important and disruptive business model. The authors need to understand how network effects operate to create efficient platforms.

This paper extends the literature on MSPs by quantifying network effects and showing not all service providers benefit equally on an MSP from network effects. Critical insights into network effects on the MSP are provided, including different ways it can impact provider sales.

There is a research gap in strategic management regarding the complement from managerial cognition literature to the behavioral theory of firm, as well as linkage between cognitive structure and cognitive process of strategy formulation in the field of managerial cognition, which also calls for further exploration. The purpose of this paper is to construct a model from an integrated view for explaining the process of cognitive reconstruction under incremental changes.

Qualitative research is conducted in the form of 17 semi-structured interviews in four hidden champions operating in China. Based on the model generated from the literature review, this paper adopts the abductive logic for data analysis.

This paper draws the following conclusions. The cognitive structure is shaped by the changing environment and the performance feedback, the variance in structural attributes will affect whether the changing environment destructs the effectiveness of original cognitive structure or not, the centrality of cognitive structure will promote the efficiency of tried-and-true organizational adaptations to incremental changes, and cognitive structure reconstruction is the result of the recursive process of trial-and-error learning.

This paper proposes the model explaining the interaction mechanisms between cognitive structure and strategy formulation process. It also presents the iterative sense-making process for reconstructing cognitive structure in strategy formulation. Both of them extend the understanding on managerial cognition in organizational adaptations to incremental environmental changes.

This paper examines the historical evolvement of competing institutional logics (i.e. religion, profession, state, market and community) underpinning Islamic accounting standardisation projects and power relations between internal actors representing these logics.

The paper adopts a case-study approach and analyses two Islamic accounting standardisation projects implemented at the national and international levels. Documentary review and semi-structured interviews are used for data collection. Analysis is informed by the “Institutional Logics Perspective” and Bourdieu's notion of “power as capital in a field”.

Research findings illustrate how some local actors pre-dispose themselves in promoting strict compliance to IFRS, while others endeavour to ensure compliance to “Islamic Sharia requirements” in financial reporting. In this power dynamic, there is an ongoing “constructive resistance” actively exerted by the latter group against the former, preserving the existence of religion-based reporting demands in Islamic accounting standardisation approaches. The paper also highlights chronological “dynamic” accounts that explain the evolvement of institutional logics prevailing in these projects over different historical stages at both national and international levels.

This paper's findings contrast and challenge the existing assumption that the “epistemic community” promoting IFRS agenda always faces “passive responses” from local actors. Moreover, the paper's offering of a dynamic view to institutional logic mapping extends the previously used “static analyses” of logics prevailing in Islamic accounting standardisation projects.