1,721,032 research outputs found
Digital technology-enabled capability development pathways
No full textProduction firms are increasingly rushing to develop digital-technology-enabled capabilities. However, little is known whether companies show consistent capability development pathways, how these pathways vary among firms, and how they affect firms' revenue enhancement through digitalization. Using a survey data study of 506 production companies, we aim to reveal how companies develop Horizontal integration, Real-time data accumulation, Process automation, and Process virtualization digital technology-enabled capabilities, invoking a combination of PLS-SEM and process mining algorithms, which allows clustering capability development pathways and identifying their duration. The study revealed that 49.04 % of the firms that have introduced all four capabilities have followed the Integration->Real-time->Automation->Virtualization capability development pathway. The subsequent quantitative analysis shows that companies that follow this path develop their capabilities on average faster than companies that follow other capability development pathways. We also found that the number of introduced capabilities positively affected revenue enhancement through digitalization. Our results contribute to the capability dynamics and digital transformation literature, revealing that while some degree of equifinality manifests, companies tend to follow particular capability development pathways determined by the sequential complementarity of capabilities.</p
Developing capabilities underlying to Industry 4.0 design principles within the manufacturing context
No full textPurposeUsing a dynamic capabilities approach, the present study aims to identify and assess the effects of organizational determinants on capabilities underlying Industry 4.0 design principles, such as integration, virtualization, real-time, automation and servitization.Design/methodology/approachPLS-SEM enables a two-stage hierarchical latent variable reflective-formative model which was used for assessing the effect of organizational determinants on Industry 4.0 design principles. Five hundred six manufacturing companies constitute the effective sample, representing a population of manufacturing companies in an industrialized country.FindingsThe findings reveal that Industry 4.0 design principles extensively depend on digitalization resource availability. At the same time, companies that possess digitalization and change management capabilities tend to devote more resources to digitalization. Finally, the paper reveals that networking and partnership capability is the critical enabler for change management and digitalization capabilities.Practical implicationsThe paper provides empirical evidence that the successful development of Industry 4.0 design principles and their underlying integration, virtualization, real-time, automation and servitization capabilities are resource dependent, requiring significant upfront investment and continuous resource allocation. Further, the study implies that companies with networking and partnership, change management and digitalization capabilities tend to allocate more resources for Industry 4.0 transformation.Originality/valueExclusively focusing on empirical research that reported applied insights into determinants of Industry 4.0 design principles, the study offers unique implications for promoting Industry 4.0 digital transformation among manufacturing companies
Mediating role of lean manufacturing practice for information technology resources and performance improvement of manufacturing firms
Full text linkThe computer-based Information Technology (IT) is a major technological innovation that has been vastly adopted by organizations to achieve performance improvement.
Understanding how performance of firms, at the organizational level of analysis, is affected by IT and relative systems is an important and cutting-edge research topic. Recent IT business value scholars drew on the resource-based view of the firm and proposed that IT has an indirect, not a direct, impact on business performance through IT-enabled capabilities. The present study draws on the so-called IT-enabled capabilities perspective to study the relationships between IT, lean manufacturing and business performance improvement to shed more light into relationship between IT and
business performance improvement among manufacturing firms. Therefore, the present study mainly aims to examine whether the application of current IT and different principles of lean manufacturing are interdependent and complementary or they are mutually exclusive. Using a questionnaire-based survey, the study collected from 131 leading Iranian and 125 Malaysian manufacturers to test the proposed research model
of lean manufacturing sustainability using Partial Least Square-Structural Equation Modeling (PLS-SEM). The study also benefits from a two years longitudinal case
study to assess the applicability of proposed model. Finding shows that lean manufacturing and IT are mutually interdependent and value of IT resources can be
effectively transformed into business performance improvement for manufacturers through the higher levels of lean manufacturing sustainability. In effect, IT-enabled lean manufacturing sustainability accounted for 41.3% of variance in business performance improvement. Advanced manufacturing technology competency is a
valuable intermediate capability which links IT investments into lean manufacturing sustainability. Findings also show that IT resource is one of the minimum requirements of lean manufacturing for surveyed business, and the value of IT investment is truly transformed to valuable capability when IT investments and resources offer competent administrative advanced manufacturing technologies for effective management of all production processes
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
The impact of Industry 4.0 on bottleneck analysis in production and manufacturing : Current trends and future perspectives
No full textBottleneck analysis, known as one of the essential lean manufacturing concepts, has been extensively researched in the literature. Recently, there has been a move towards using new Industry 4.0-based concepts and technologies in the development of bottleneck analysis. However, the interrelations between bottleneck analysis and Industry 4.0 have not been studied thoroughly. The present study addresses this gap and performs a systematic literature review on articles available in major scientific databases (i.e., Web of Science and Scopus) to investigate the impact of Industry 4.0 on the advancement of bottleneck analysis in production and manufacturing. Bibliometric analysis and content review were performed to extract the quantitative and qualitative data. Results revealed that only five out of 15 design principles and five out of eleven technologies of Industry 4.0 were addressed previously in developing bottleneck analysis methods. In addition to highlighting the existing gaps in the literature and proposing topics for future research, several potential development streams are proposed by studying the design principles and technologies of Industry 4.0, which have not been considered in bottleneck analysis before.CC BY 4.0Corresponding author at: Division of Intelligent Production Systems, School of Engineering Science, University of Skövde, 54128 Skövde, Sweden. E-mail addresses: [email protected], [email protected] (M. Fathi).This study was funded by the Knowledge Foundation (KKS), Sweden, through the ACCURATE 4.0 project, under grant agreement No. 20200181.ACCURATE 4.
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