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Publications (10 of 10) Show all publications
Antai, I. (2016). Market versus supply chain vs. supply chain competition: A systems approach to reconciling the perspectives for business. In: Lauri Ojala, Juuso Töyli, Tomi Solakivi, Harri Lorentz, Sini Laari, Ninni Lehtinen (Ed.), : . Paper presented at NOFOMA 2016 - the 28th Annual Nordic Logistics Research Network Conference, Turku, June 8-10, 2016. (pp. 1-17). Turku: University of Turku Press
Open this publication in new window or tab >>Market versus supply chain vs. supply chain competition: A systems approach to reconciling the perspectives for business
2016 (English)In: / [ed] Lauri Ojala, Juuso Töyli, Tomi Solakivi, Harri Lorentz, Sini Laari, Ninni Lehtinen, Turku: University of Turku Press , 2016, p. 1-17Conference paper, Published paper (Refereed)
Abstract [en]

Purpose

The purpose of this paper is to propose an integrative account of market (economic) competition and supply chain vs. supply chain competition in order to discover how both perspectives of competition might fit together within the broader encompassing notion of business competition.

Design/methodology/approach

The paper explores the potential points of alignment between the two competition perspectives from their development through to their current standings. Literatures on the evolving supply chain vs. supply chain competition as well as market competition are thus explored.

Findings

Results show that the two perspectives of competition are more similar than expected and as such market competition and supply chain vs. supply chain competition may not be described as mutually exclusive alternatives to the concept of competition.

Research limitations/implications (if applicable)

The suggestions in this paper have implications for the discussion on how to deal with the competition interfaces (borders) that may be present in carrying out business as usual.

Original/value

The paper presents as one of the first studies of an integration of market competition and supply chain vs. supply chain competition, and thereby contributes to furthering our understanding of competition between supply chains and the different competition regimes that may exist within the business environment. This prospect is yet to be pointed out in literature.

Place, publisher, year, edition, pages
Turku: University of Turku Press, 2016
Keywords
Supply chain vs. supply chain, SC vs. SC, competition, systems, market competition
National Category
Business Administration Transport Systems and Logistics
Identifiers
urn:nbn:se:hj:diva-34715 (URN)978-951-29-6517-5 (ISBN)
Conference
NOFOMA 2016 - the 28th Annual Nordic Logistics Research Network Conference, Turku, June 8-10, 2016.
Available from: 2017-01-16 Created: 2017-01-16 Last updated: 2017-01-16Bibliographically approved
Owusu, R. A., Mutshinda, C. M., Antai, I., Dadzie, K. Q. & Winston, E. M. (2016). Which UGC features drive web purchase intent?: A spike-and-slab Bayesian Variable Selection Approach. Internet Research, 26(1), 22-37
Open this publication in new window or tab >>Which UGC features drive web purchase intent?: A spike-and-slab Bayesian Variable Selection Approach
Show others...
2016 (English)In: Internet Research, ISSN 1066-2243, Vol. 26, no 1, p. 22-37Article in journal (Refereed) Published
Abstract [en]

Purpose - The purpose of this paper is to identify user-generated content (UGC) features that determine web purchase decision making.

Design/methodology/approach - The authors embed a spike-and-slab Bayesian variable selection mechanism into a logistic regression model to identify the UGC features that are critical to web purchase intent. This enables us to make a highly reliable analysis of survey data.

Findings -The results indicate that the web purchase decision is driven by the relevance, up-to-dateness and credibility of the UGC information content.

Research limitations/implications - The results show that the characteristics of UGC are seen as positive and the medium enables consumers to sort information and concentrate on aspects of the message that are similar to traditional word-of-mouth (WOM). One important implication is the relative importance of credibility which has been previously hypothesized to be lower in the electronic word-of-mouth (e-WOM) context. The results show that consumers consider credibility important as the improved technology provides more possibilities to find out about that factor. A limitation is that the data are not fully representative of the general population but our Bayesian method gives us high analytical quality.

Practical implications - The study shows that UGC impacts consumer online purchase intentions. Marketers should understand the wide range of media that provide UGC and they should concentrate on the relevance, up-to-dateness and credibility of product information that they provide.

Originality/value - The analytical quality of the spike-and-slab Bayesian method suggests a new way of understanding the impact of aspects of UGC on consumers.

Keywords
User-generated content, Bayesian variable selection, Electronic word-of-mouth, Spike-and-slab Bayesian method, Web purchase decision making, Web purchasing intent
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-29856 (URN)10.1108/IntR-06-2014-0166 (DOI)000370002200002 ()2-s2.0-84955446135 (Scopus ID)
Available from: 2016-05-03 Created: 2016-05-03 Last updated: 2017-11-30Bibliographically approved
Antai, I., Mutshinda, C. & Owusu, R. (2015). A 3-R principle for characterizing failure in relief supply chains’ response to natural disasters. Journal of Humanitarian Logistics and Supply Chain Management, 5(2), 234-252
Open this publication in new window or tab >>A 3-R principle for characterizing failure in relief supply chains’ response to natural disasters
2015 (English)In: Journal of Humanitarian Logistics and Supply Chain Management, ISSN 2042-6747, E-ISSN 2042-6755, Vol. 5, no 2, p. 234-252Article in journal (Refereed) Published
Abstract [en]

Purpose

– The purpose of this paper is to introduce a 3R (right time, right place, and right material) principle for characterizing failure in humanitarian/relief supply chains’ response to natural disasters, and describes a Bayesian methodology of the failure odds with regard to external factors that may affect the disaster-relief outcome, and distinctive supply chain proneness to failure.

Design/methodology/approach

– The suggested 3Rs combine simplicity and completeness, enclosing all aspects of the 7R principle popular within business logistics. A fixed effects logistic regression model is designed, with a Bayesian approach, to relate the supply chains’ odds for success in disaster-relief to potential environmental predictors, while accounting for distinctive supply chains’ proneness to failure.

Findings

– Analysis of simulated data demonstrate the model’s ability to distinguish relief supply chains with regards to their disaster-relief failure odds, taking into account pertinent external factors and supply chain idiosyncrasies.Research limitations/implications– Due to the complex nature of natural disasters and the scarcity of subsequent data, the paper employs computer-simulated data to illustrate the implementation of the proposed methodology.

Originality/value

– The 3R principle offers a simple and familiar basis for evaluating failure in relief supply chains’ response to natural disasters. Also, it brings the issues of customer orientation within humanitarian relief and supply operations to the fore, which had only been implicit within the humanitarian and relief supply chain literature.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2015
Keywords
3R principle, Customerization, Fixed effects logistic model, Supply chain failure, Natural hazard profile, Humanitarian and relief supply chain
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-29206 (URN)10.1108/JHLSCM-07-2014-0028 (DOI)2-s2.0-84958754517 (Scopus ID)IHHEFSIS (Local ID)IHHEFSIS (Archive number)IHHEFSIS (OAI)
Available from: 2016-01-25 Created: 2016-01-25 Last updated: 2019-02-21Bibliographically approved
Antai, I. & Olson, H. (2013). Interaction: a new focus for supply chain vs supply chain competition. International Journal of Physical Distribution & Logistics Management, 43(7), 511-528
Open this publication in new window or tab >>Interaction: a new focus for supply chain vs supply chain competition
2013 (English)In: International Journal of Physical Distribution & Logistics Management, ISSN 0960-0035, E-ISSN 1758-664X, Vol. 43, no 7, p. 511-528Article in journal (Refereed) Published
Abstract [en]

Purpose - Although the supply chain (SC) competition concept has emerged during the past decade as the way firms will compete in future, there is scant academic research on actual mechanisms through which such competition can occur. The purpose of this paper is to proposes interaction as the means by which competition between supply chains may be undertaken. Design/methodology/approach - The paper investigates a Swedish logistics center via case study methodology to develop the idea of interaction for SC vs SC competition. Findings - Results suggest that interaction points along organizations' supply chains may present enough breadth to assume a role in determining how SC vs SC competition may be played out in reality. Research limitations/implications - Interaction, as proposed here, implies an emphasis on all points at which supply chains meet to request goods and services, including various points where such supply chains converge, e.g. service providers, original equipment manufacturers, etc. Originality/value - Most studies dealing with competition between supply chains fall short of exploring the link between theory and corresponding practice of this evolving competition mode. Such a link is provided with the use of logistics centers.

Keywords
Supply chain management, Competitive strategy, Sweden, Logistics center, Interaction, Competition, Supply chain vs supply chain competition, Case study, Pattern matching
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-29857 (URN)10.1108/IJPDLM-06-2012-0195 (DOI)000332269700002 ()2-s2.0-84880605482 (Scopus ID)
Available from: 2016-05-03 Created: 2016-05-03 Last updated: 2017-11-30Bibliographically approved
Antai, I. (2011). A theory of the competing supply chain: Alternatives for development. International Business Research, 4(1), 74-85
Open this publication in new window or tab >>A theory of the competing supply chain: Alternatives for development
2011 (English)In: International Business Research, ISSN 1913-9004, E-ISSN 1913-9012, Vol. 4, no 1, p. 74-85Article in journal (Refereed) Published
Abstract [en]

Development of a coherent methodology for supply chain vs. supply chain competition remains elusive in literature in terms of purpose, approaches and theoretical foundations. The purpose of this paper is to identify suitable theories of competition from which supply chain vs. supply chain competition may be further developed. Paper explores literature on competition theories, competition and its correlates and also considers the dichotomy between competitiveness and competition in relation to achievement of a competitive advantage in supply chains. An argument is made for the identification and development of theory that reflects the multidimensional, process-based and emergent properties of supply chains. Three competition theories from which supply chain vs. supply chain competition may begin to be conceptualized and possibly operationalized are identified. A chronological conceptualization of competition, competitiveness and competitive advantage, which is intuitive to the realization of competitive advantage in inter-supply chain competition, is also proposed.

Keywords
Competition, Competitiveness, Competitive advantage, Competition theory, Dimensionality, Niche theory
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-29864 (URN)10.5539/ibr.v4n1p74 (DOI)
Available from: 2016-05-04 Created: 2016-05-04 Last updated: 2017-11-30Bibliographically approved
Polsa, P., Spens, K., Soneye, A. & Antai, I. (2011). Comparing the perceived quality of private and public health services in Nigeria. Journal of Management Policy and Practice, 12(7), 18-26
Open this publication in new window or tab >>Comparing the perceived quality of private and public health services in Nigeria
2011 (English)In: Journal of Management Policy and Practice, ISSN 1913-8067, Vol. 12, no 7, p. 18-26Article in journal (Refereed) Published
Abstract [en]

In several countries services offered by private hospitals are considered to be superior to those of public hospitals. Research on the service quality in hospitals in developing countries is scarce, as is comparison of the customer-perceived quality of the two types of healthcare systems. The present study compares the perceived quality of private and public health services in Nigeria focusing on the capital Lagos. The results show distinctly positive perceptions of the service quality provided by both healthcare systems. However, when high-level hospitals were excluded, the scores for the private hospitals were higher. These findings are in line with earlier studies on hospitals in developed countries, but differ from previous findings on healthcare in developing countries.

Keywords
perceived quality of healthcare, private providers, public providers, rural/urban, Nigeria
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-29863 (URN)
Available from: 2016-05-04 Created: 2016-05-04 Last updated: 2017-11-30Bibliographically approved
Antai, I. (2011). Supply chain vs supply chain competition: A niche-based approach. Management Research Review, 34(10), 1107-1124
Open this publication in new window or tab >>Supply chain vs supply chain competition: A niche-based approach
2011 (English)In: Management Research Review, ISSN 2040-8269, E-ISSN 2040-8277, Vol. 34, no 10, p. 1107-1124Article in journal (Refereed) Published
Abstract [en]

Purpose: The purpose of this paper is to propose a conceptualization of supply chain vs supply chain competition using the ecological niche approach. It suggests a probabilistic methodology for evaluating competition from time series data, using overlap in the utilization of services provided by critical providers as a source of competition.

Design/methodology/approach: Literature on ecological niche theory and competition is explored and given the uncertainty that surrounds the operation and management of supply chains, a probabilistic approach to the analysis of supply chain vs supply chain competition (via the Bayesian inference) is advocated. Simulated data are used to illustrate the methodology.

Findings: Should an area of overlap be identified, ecological niche theory provides a sensible approach to identifying the nature and extent of competition between supply chains. Applicability of the methodology is not limited to supply chain vs supply chain competition.

Research limitations/implications: The data used for the analysis of competition between supply chains are computer generated and use a single niche dimension. Although this was done to merely test/validate the proposed model, the approach is somewhat oversimplified. However, the model is readily extendable to multiple niche dimensions.

Originality/value: The proposed approach offers a simple and straight-forward method of estimating competition in general, and supply chains vs supply chain competition in particular. Attempts at using the niche theory of competition in this context are so far inconspicuous. Hence, approaching competition in this way contributes to furthering our understanding of competitive interaction especially in supply chains, whose prospect is yet to be pointed out in literature.

Keywords
Competition, Ecological niche, Niche theory, Overlap, Probabilistic modeling, Supply chain management, Supply chain vs supply chain competition, Time series analysis
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-29859 (URN)10.1108/01409171111171500 (DOI)2-s2.0-80053069281 (Scopus ID)
Available from: 2016-05-03 Created: 2016-05-03 Last updated: 2017-11-30Bibliographically approved
Kinra, A. & Antai, I. (2010). Emerging logics of competition: Paradigm shift, fantasy, or reality check?. Competitiveness Review: an international business journal, 20(2), 94-110
Open this publication in new window or tab >>Emerging logics of competition: Paradigm shift, fantasy, or reality check?
2010 (English)In: Competitiveness Review: an international business journal, ISSN 1059-5422, E-ISSN 2051-3143, Vol. 20, no 2, p. 94-110Article in journal (Refereed) Published
Abstract [en]

Purpose - The purpose of this paper is to elicit the subtle but progressive shift in organizational/institutional interaction with its rivals within a competitive framework, and thereby discusses and analyses paradigm shifts in competition and competitiveness. The paper argues that interorganizational networks and the recent concept of supply chain management may have induced a change in how competitiveness is viewed at the national, industry, and firm levels of interaction.

Design/methodology/approach - The paper conceptualizes extant literature into distinct themes of (organizational and institutional) analysis - micro, macro, and meso - and based on this review the paper seeks to identify emerging logics and shifts within mainstream competitiveness literature over the last decade.

Findings - The paper suggests that the micro-macro theme of competition and competitiveness remains dominant in mainstream literature. Results from the analysis also support the notion of emergent logics of competition and competitiveness, which could then imply that a paradigm shift may well have begun within the area of competition and competitiveness.

Research limitations/implications - The limited findings point towards more detailed forays into competition of interorganizational forms such as networks and supply chains, before a paradigm shift may be claimed.

Practical implications - The paper serves to trigger the consciousness of stakeholders to think realistically with regards to claims that competition and competitiveness are carried out on the network level, e.g. a supply chain vs supply chain playing field.

Originality/value - While networks and supply chains have generally been inferred as new frontiers for contemporary competition in different functionally-oriented literature domains, analysis and performance of such emergent logics is yet to be shown. The classification of different competition logics put forth in this paper aid in systemizing the competitiveness/competition rhetoric.

Keywords
Competitive strategy, Networking, Supply chain management
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-29860 (URN)10.1108/10595421011029820 (DOI)2-s2.0-84867066224 (Scopus ID)
Available from: 2016-05-03 Created: 2016-05-03 Last updated: 2017-11-30Bibliographically approved
Antai, I. & Mutshinda, C. M. (2010). Health status assessment using reverse supply chain data. Management Research Review, 33(2), 111-122
Open this publication in new window or tab >>Health status assessment using reverse supply chain data
2010 (English)In: Management Research Review, ISSN 2040-8269, E-ISSN 2040-8277, Vol. 33, no 2, p. 111-122Article in journal (Refereed) Published
Abstract [en]

Purpose – The purpose of this paper is to suggest the use of reverse medical supply chain data to infer changes of a population's health status with regard to a focal disease. It includes a detailed illustration of how health status information can be obtained from drug reverse chains.

Design/methodology/approach – A Bayesian dynamical model linking drug reverse supply chain data to relevant health status indicators with regard to a focal disease is developed. A detailed implementation of the model on computer‐simulated data is considered. The predictive ability of the methodology is also assessed using out‐of‐sample Monte Carlo‐based predictive analysis.

Findings – The results substantiate the good fit of the model to the empirical data.

Research limitations/implications – Difficulty in obtaining actual return data and in selecting appropriate health status indicators. The correspondence disease‐drug is typically not one‐to‐one. Experts' opinion is required in setting up suitable mixing weights as many drugs may inform the health status relative to a given disease and vice versa.

Practical implications – Reverse logistics data may contain potential information, and this is not exclusive to medical chains.

Originality/value – The paper's suggestions tend to reinforce the notion that supply chain data may be used in many unsuspected settings. Solutions to issues of immediate concern in public health require multidisciplinary cooperation, and this paper shows how supply chain management can contribute. It is believed that the potential of reverse chain data in the health status prospect has previously hardly ever been pointed out.

Keywords
Monte Carlo methods, Predictive process, Supply chain management, Health services, Drugs, Medical management
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-29865 (URN)10.1108/01409171011015801 (DOI)
Available from: 2016-05-04 Created: 2016-05-04 Last updated: 2017-11-30Bibliographically approved
Mutshinda, C. M., Antai, I. & O'Hara, R. B. (2008). A probabilistic approach to exposure risk assessment. Stochastic environmental research and risk assessment (Print), 22(4), 441-449
Open this publication in new window or tab >>A probabilistic approach to exposure risk assessment
2008 (English)In: Stochastic environmental research and risk assessment (Print), ISSN 1436-3240, E-ISSN 1436-3259, Vol. 22, no 4, p. 441-449Article in journal (Refereed) Published
Abstract [en]

The introduction of hazardous substances into the environment has long been recognized as being a cause of several diseases in humans, wildlife, and plants. The damaging character of suspected contaminants is usually assessed via a "reject/retain" design with no explicit link between levels of exposure and intensities of the potential adverse health effects even though this connection may be important for the development of public health regulations that limit exposure to hazardous substances. Here, we propose a probabilistic approach to exposure risk assessment as a way around this typical flaw. We develop a Bayesian model using proximity to the source of an alleged contaminant as a surrogate for exposure. Subsequently, we carry out an experimental study based on simulated data to illustrate the model implementation with real world data. We also discuss a possible way of extending the model to accommodate potential heterogeneity in the spatial distribution of the focal disease.

Keywords
environmental hazards, inverse square law, environmental risk assessment, spatial heterogeneity
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:hj:diva-29858 (URN)10.1007/s00477-007-0143-0 (DOI)000255095300001 ()2-s2.0-42549126840 (Scopus ID)
Available from: 2016-05-03 Created: 2016-05-03 Last updated: 2017-11-30Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1906-590X

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