Krisztina Horváth and Esteban Lafuente
This study aims to evaluate how the configuration of competitive pillars impacts businesses' competitive efficiency by using a non-parametric model, namely, data envelopment…
Abstract
Purpose
This study aims to evaluate how the configuration of competitive pillars impacts businesses' competitive efficiency by using a non-parametric model, namely, data envelopment analysis (DEA), with a single constant input.
Design/methodology/approach
The proposed DEA model evaluates technical inefficiency, which results from differences in the availability and allocation of resources, and configuration inefficiency, which we link to differences in the way businesses amalgamate their competitive pillars. The sample includes 115 Spanish businesses operating in manufacturing, construction, retail and knowledge-intensive business services (KIBS) sectors.
Findings
The results reveal that, on an average, firms can improve their overall competitive efficiency by 53.53%. The findings suggest that the configuration of competitive pillars has important implications for efficiency analyses: human capital and strategy are the most relevant aspects shaping competitive efficiency in manufacturing and construction firms; whereas innovation emerges as the most relevant competitive aspect driving competitive efficiency in KIBS firms.
Originality/value
The novelty of this study lies in the analysis of competitive efficiency in a model where efficiency can be explained by overall (industry-specific) competitive efficiency within the industry and by strategic choices on how resources and capabilities are combined within the business.
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Levente Szász, Krisztina Demeter, Ottó Csíki and Réka Horváth
Taking its outset in operations management (OM) contingency research, this paper aims to investigate how firm size, as one of the most powerful explanatory factors, influences the…
Abstract
Purpose
Taking its outset in operations management (OM) contingency research, this paper aims to investigate how firm size, as one of the most powerful explanatory factors, influences the implementation and performance impact of four key manufacturing practices.
Design/methodology/approach
Three large-scale surveys from three different points in time, with a total of 1880 observations from varied geographical regions, are used to offer generalizable evidence on how firm size influences the implementation and performance outcome of technology, lean, quality and human resource practices.
Findings
The four manufacturing practices positively enhance performance: quality and lean practices produce the most consistent effects, while technology and human resource practices turn more beneficial in the latest sample. Furthermore, the authors offer robust support for the selection and mediation models (larger firms generally invest more in the four practices and, through that, achieve higher performance), while finding no evidence for the moderation model (smaller firms can equally benefit if they possess the resources to invest in these practices).
Originality/value
As manufacturing practices are continuously evolving, their performance impact cannot be guaranteed in any context. Size is a frequently used contingency variable in OM studies, but results are contradictory in terms of its impact on the implementation and performance outcomes of manufacturing practices. This study manages to ease these contradictions.
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Levente Szász, Krisztina Demeter, Béla-Gergely Rácz and Dávid Losonci
The purpose of this paper is to review the literature and offer a more generalizable empirical investigation on the performance impact of implementing Industry 4.0, and the way…
Abstract
Purpose
The purpose of this paper is to review the literature and offer a more generalizable empirical investigation on the performance impact of implementing Industry 4.0, and the way important contingency factors (plant size, multinational status, country context) affect implementation efforts.
Design/methodology/approach
Following a systematic literature review, the empirical research is based on a large-scale survey of 705 manufacturing plants from 22 countries. Structural equation modeling is employed to discover the relationships between the main constructs of interest, complemented with subgroup analyses to offer a more detailed understanding of the main effects.
Findings
We provide evidence that technologies enabling Industry 4.0 have a positive impact on operational performance, including cost, quality, delivery and flexibility performance. Results of the analyses further indicate that (1) larger firms invest more in implementing Industry 4.0 technologies, (2) manufacturing firms in less competitive countries, especially in the South-East Asian region invest significantly more effort than competitive countries, while (3) multinational companies have no advantage over local firms.
Research limitations/implications
The survey data employed in this study refers to the early years of companies embracing Industry 4.0 solutions, and thus does not contain the most recent advances in manufacturing technologies.
Originality/value
The paper represents one of the first studies in the literature to assess on a large-scale survey the performance impact of Industry 4.0 technologies, as well as the main contingency factors affecting the implementation of these technologies.
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Krisztina Demeter, Levente Szász, Béla-Gergely Rácz and Lehel-Zoltán Györfy
The purpose of this paper is to investigate how different manufacturing technologies are bundled together and how these bundles influence operations performance and, indirectly…
Abstract
Purpose
The purpose of this paper is to investigate how different manufacturing technologies are bundled together and how these bundles influence operations performance and, indirectly, business performance. With the emergence of Industry 4.0 (I4.0) technologies, manufacturing companies can use a wide variety of advanced manufacturing technologies (AMT) to build an efficient and effective production system. Nevertheless, the literature offers little guidance on how these technologies, including novel I4.0 technologies, should be combined in practice and how these combinations might have a different impact on performance.
Design/methodology/approach
Using a survey study of 165 manufacturing plants from 11 different countries, we use factor analysis to empirically derive three distinct manufacturing technology bundles and structural equation modeling to quantify their relationship with operations and business performance.
Findings
Our findings support an evolutionary rather than a revolutionary perspective. I4.0 technologies build on traditional manufacturing technologies and do not constitute a separate direction that would point towards a fundamental digital transformation of companies within our sample. Performance effects are rather weak: out of the three technology bundles identified, only “automation and robotization” have a positive influence on cost efficiency, while “base technologies” and “data-enabled technologies” do not offer a competitive advantage, neither in terms of cost nor in terms of differentiation. Furthermore, while the business performance impact is positive, it is quite weak, suggesting that financial returns on technology investments might require longer time periods.
Originality/value
Relying on a complementarity approach, our research offers a novel perspective on technology implementation in the I4.0 era by investigating novel and traditional manufacturing technologies together.
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Zsuzsanna Győri and Borbála Benedek
The purpose of this paper is to discuss the stakeholders of debt settlement programmes in general and some lessons learnt from the most significant debt settlement programmes of…
Abstract
Purpose
The purpose of this paper is to discuss the stakeholders of debt settlement programmes in general and some lessons learnt from the most significant debt settlement programmes of recent years in Hungary. The study also presents a planned debt settlement programme in Hungary. The paper explores and details behaviours and motivations of different stakeholders in debt settlement in general and also with reference to a specific case study. As for its main research question, the paper seeks to identify the preconditions of a successful debt settlement programme with specially emphasis on the poor.
Design/methodology/approach
Data from semi-structured in-depth expert interviews, documents and former research papers were collected for identifying previous Hungarian debt settlement programmes and potential lessons learnt. After a general discussion, based on primary and secondary sources, a case study is presented to obtain a more comprehensive understanding of opportunities and challenges of debt settlement.
Findings
Six preconditions of successful debt settlement targeting the poor are identified. In the case study, the existence and relevance of these preconditions are tested: the main finding is that they all are important for solving the situations, so a partial solution is not sufficient. In the scope of the case study, more precisely within the planned innovative banking solution, the motivations of the bank and the coordinator NGO are identified. On the part of the bank, motivations for solving social problems (both as far as business and moral issues are concerned) are relevant, while – as for the other party – the situation of the debtor is important to understand so that opportunities of cooperation can be identified. In addition, as other stakeholders also influence the potentials of the programme, their cooperative attitude is also needed.
Research limitations/implications
Limitations consist in generalisation: the study presents some cases from one single country and finally it focuses only on one specific case in one specific social and economic context in Hungary. Having recognized this risk, the author opted for basing research questions on theory, documented the process in detail, and also used triangulation through applying a multiple data collection (interview, content analysis, literature review) method.
Practical implications
Besides presenting an academic understanding of the phenomena, the goal of the study is to contextualize and interpret the case, to help the realization of currently frozen initiatives and to promote similar future ones.
Social implications
Indebtedness is a stressful situation affecting families, smaller communities and broader society as well. The planned cooperation of BAGázs and MagNet tries to help people excluded from the banking system. So that a deeper debt trap can be avoided, the goal of this programme is to purchase, partially discharge and reschedule pre-accumulated debts of carefully selected people who have regular income and are willing to undertake bearable repayment. The idea is very innovative with literally no good practice to follow. The research seeks to clarify the pitfalls and opportunities to help the realization of the project and similar future ones.
Originality/value
A certain form of values-based banking concerns the financial inclusion of the poor, e.g. debt settlement. Nevertheless, over-indebtedness and the settlement of existing debts as well as the relevance of such issues to the financial inclusion are not emphasized enough in the literature or in practice. Besides presenting an academic understanding of the phenomena, the goal of the study is to contextualize and interpret the case, to help the realization of currently frozen initiatives and to promote similar future ones.