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JournalISSN: 0305-0483

Omega-international Journal of Management Science 

Elsevier BV
About: Omega-international Journal of Management Science is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Data envelopment analysis & Supply chain. It has an ISSN identifier of 0305-0483. Over the lifetime, 4452 publications have been published receiving 217711 citations.


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Journal ArticleDOI
TL;DR: In this article, the authors report results from empirical tests of relationships between the pattern of innovation within a firm and certain of the firm's characteristics: the stage of development of its production process and its chosen basis of competition.
Abstract: This article reports results from empirical tests of relationships between the pattern of innovation within a firm and certain of the firm's characteristics: the stage of development of its production process and its chosen basis of competition. The hypothesized relationships posed for the present investigation are a synthesis of prior research by the present authors on two distinct but complementary conceptual models of innovation, concerning respectively: the relationship between competitive strategy and innovation, and the relationship between production process characteristics and innovation. The empirical investigation is carried out with data available from the Myers and Marquis study of successful technological innovation in five different industry segments. The essential aspects of the hypothesized relationships are that the characteristics of the innovative process will systematically correspond with the stage of development exhibited by the firm's production process technology and with its strategy for competition and growth. As a more specific example these relationships predict that there will be coherent patterns in the stimuli for innovation (market, production or new technology); in the types of innovation (product or process, original or adopted, etc.) and in barriers to innovation. The presently reported statistical evidence is decidedly favorable to the hypothesized relationships, even though the adaptations needed to implement tests with existing data introduce dependencies that limit conclusions which would otherwise be warranted. The broad implication is that strong and important relationships exist among the capability of a firm to innovate, its competitive strategy and the posture of its production resources.

3,323 citations

Journal ArticleDOI
David Gefen1
TL;DR: In this paper, Luhmann et al. found that familiarity is a precondition for trust, and trust is a prerequisite of social behavior, especially regarding important decisions, in the context of the E-commerce involved in inquiring about and purchasing books on the Internet.
Abstract: Familiarity is a precondition for trust, claims Luhmann [28: Luhmann N. Trust and power. Chichester UK: Wiley, 1979. (translation from German)], and trust is a prerequisite of social behavior, especially regarding important decisions. This study examines this intriguing idea in the context of the E-commerce involved in inquiring about and purchasing books on the Internet. Survey data from 217 potential users support and extend this hypothesis. The data show that both familiarity with an Internet vendor and its processes and trust in the vendor influenced the respondents’ intentions to inquire about books, and their intentions to purchase them. Additionally, the data show that while familiarity indeed builds trust, it is primarily people’s disposition to trust that affected their trust in the vendor. Implications for research and practice are discussed.

2,747 citations

Journal ArticleDOI
TL;DR: A simple algorithm is presented in this paper, which produces very good sequences in comparison with existing heuristics, and performs especially well on large flow-shop problems in both the static and dynamic sequencing environments.
Abstract: In a general flow-shop situation, where all the jobs must pass through all the machines in the same order, certain heuristic algorithms propose that the jobs with higher total process time should be given higher priority than the jobs with less total process time. Based on this premise, a simple algorithm is presented in this paper, which produces very good sequences in comparison with existing heuristics. The results of the proposed algorithm have been compared with the results from 15 other algorithms in an independent study by Park [13], who shows that the proposed algorithm performs especially well on large flow-shop problems in both the static and dynamic sequencing environments.

2,255 citations

Journal ArticleDOI
TL;DR: In this article, a new method, called best-worst method (BWM) is proposed to solve multi-criteria decision-making (MCDM) problems, in which a number of alternatives are evaluated with respect to different criteria in order to select the best alternative(s).
Abstract: In this paper, a new method, called best-worst method (BWM) is proposed to solve multi-criteria decision-making (MCDM) problems. In an MCDM problem, a number of alternatives are evaluated with respect to a number of criteria in order to select the best alternative(s). According to BWM, the best (e.g. most desirable, most important) and the worst (e.g. least desirable, least important) criteria are identified first by the decision-maker. Pairwise comparisons are then conducted between each of these two criteria (best and worst) and the other criteria. A maximin problem is then formulated and solved to determine the weights of different criteria. The weights of the alternatives with respect to different criteria are obtained using the same process. The final scores of the alternatives are derived by aggregating the weights from different sets of criteria and alternatives, based on which the best alternative is selected. A consistency ratio is proposed for the BWM to check the reliability of the comparisons. To illustrate the proposed method and evaluate its performance, we used some numerical examples and a real-word decision-making problem (mobile phone selection). For the purpose of comparison, we chose AHP (analytic hierarchy process), which is also a pairwise comparison-based method. Statistical results show that BWM performs significantly better than AHP with respect to the consistency ratio, and the other evaluation criteria: minimum violation, total deviation, and conformity. The salient features of the proposed method, compared to the existing MCDM methods, are: (1) it requires less comparison data; (2) it leads to more consistent comparisons, which means that it produces more reliable results.

2,214 citations

Journal ArticleDOI
TL;DR: In this paper, the authors conceptualized and developed five dimensions of SCM practice (strategic supplier partnership, customer relationship, level of information sharing, quality information sharing and postponement) and tested the relationships between SCM practices, competitive advantage, and organizational performance.
Abstract: Effective supply chain management (SCM) has become a potentially valuable way of securing competitive advantage and improving organizational performance since competition is no longer between organizations, but among supply chains. This research conceptualizes and develops five dimensions of SCM practice (strategic supplier partnership, customer relationship, level of information sharing, quality of information sharing, and postponement) and tests the relationships between SCM practices, competitive advantage, and organizational performance. Data for the study were collected from 196 organizations and the relationships proposed in the framework were tested using structural equation modeling. The results indicate that higher levels of SCM practice can lead to enhanced competitive advantage and improved organizational performance. Also, competitive advantage can have a direct, positive impact on organizational performance.

1,920 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202380
2022212
2021365
2020279
2019173
201892