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Purpose - The purpose of this paper is to formulate the manufacturing strategy in a developing country with particular reference to Nigeria in sub-Saharan African country. Design/methodology/approach - Using survey methodology and the partial least squares - structural equation modeling technique, The authors find that in addition to the four basic environmental factors - business cost, labor availability, competitive hostility and environmental dynamism, both government policies and the adopted manufacturing practices have significant effects on the manufacturing strategic priorities. Findings - Among other findings, the environmental factors of government policies and the type of manufacturing practices adopted have significant effects on manufacturing strategy. Research limitations/implications - Further studies should explicitly look into the effect of the adopted manufacturing strategy on company performance. Possibly, a case study research might be considered to establish this relationship. Practical implications - As manufacturing firms continue to experience greater competition, especially from China, and given the technological advancement in manufacturing, the business environment facing Nigerian manufacturing companies is likely to become more dynamic, complex, diverse and even hostile. Under such a turbulent climate, the configuration and effective deployment of manufacturing strategies is imperative to achieving superior business performance. Social implications - A more effective strategy will make companies more competitive in the market place, thus creating employment in a sector that has witnessed declining growth in employment. Originality/value - The linkage between environmental factors and manufacturing strategy has been studied widely. However, this study reveals the role of government policies and manufacturing practices in formulating manufacturing strategy in a developing country context.

Purpose The purpose of this paper is to examine the relationship between product customization and servitization strategies, specifically the relationship between product customization strategy intensity and degree of servitization (offering of basic and/or advanced services) and the moderating role of product customization strategy alignment on that relationship. Design/methodology/approach The authors develop and test hypotheses through partial least squares path modeling to analyze data from the Sixth International Manufacturing Strategy Survey, involving 931 manufacturers in 22 countries. Findings The results indicate that customization strategy intensity is positively associated with the offering of basic and advanced services; these relationships are not moderated by customization strategy alignment. Practical implications Manufacturers pursuing product customization strategies may be especially well positioned to servitize, even those with misalignment in strategic choices. Paradoxically, while manufacturers of standard products might look at servitization as an attractive strategy to differentiate their value proposition, they appear to be less servitized than manufacturers pursuing product customization. Originality/value This is one of the first studies to examine how manufacturing strategy choices (intensity and alignment) influence the adoption of servitization strategies. The study introduces manufacturing strategy as a contingency factor that influences the adoption of servitization, answering calls for the study of servitization contingencies.

The purpose of this study is to examine the interrelationships between manufacturing strategy process (manufacturing strategy formulation and manufacturing strategy implementation), manufacturing-marketing integration and plant performance. For this study, a survey was conducted on 221 manufacturers from the machinery, automotive and electronics in South Korea. Subsequently, the related hypotheses were tested using structural equation modeling. According to the results, positive relationships were observed between the manufacturing strategy process, manufacturing-marketing integration and plant performance. Specifically, manufacturing strategy formulation positively influenced both manufacturing strategy implementation and manufacturing-marketing integration. Further, not only manufacturing strategy implementation, but manufacturing-marketing integration also has a direct positive influence on plant performance. Although manufacturing strategy formulation does not directly affect plant performance, its influence on plant performance is transmitted through two paths intermediated by both manufacturing strategy implementation and manufacturing-marketing integration, respectively. In contrast to quite a number of studies focused on the manufacturing strategy content, there only exists a relatively small number of studies related to the manufacturing strategy process. Therefore, this study is one of the few broad empirical studies that investigated the interrelationships between manufacturing strategy formulation, manufacturing strategy implementation, manufacturing-marketing cooperation and plant performance using structural equation modeling. Furthermore, it also verified that the manufacturing strategy process can be a source of plant performance improvement.

Purpose Modern manufacturing systems require tools and techniques that take cognizance of the social (concerning people and relations) as well as the technical environment. The purpose of this paper is to explore the relationship between the social and technical aspects of lean manufacturing practices and their effects on business performance outcomes. Design/methodology/approach The hypothesized relationships for this study are tested with data collected from 148 Indian manufacturing firms by using SPSS and AMOS statistical software. Findings The analysis of the study was conducted using structural equation modeling (SEM) technique, which indicated that both “soft” and “hard” lean practices are positively related to business performance parameters. The findings also demonstrated that “hard” lean practices fully mediate the relationship between “soft” lean practices and business performance parameters. Research limitations/implications There are some limitations of this study. Although a cross-sectional survey has been applied, the research does not permit us to account for the lag between implementation and performance. It also brings the opinion of a limited number of Indian experts about lean manufacturing systems; hence, the sample size could be increased and the nationality of the respondent could be expanded for future research. Practical implications The paper would be of interest to Lean practitioners, and the results of this study can be used in organizations to put a focus on social-cultural changes while applying lean technical tools when it comes to practices as well as importance. Originality/value This paper extends theoretical contribution in production and operations management literature, highlighting how social and technical practices have to interact to enable a successful lean manufacturing implementation.

Identifying manufacturers' competitive priorities has long been considered a key element in manufacturing strategy research. However, relatively little effort has been devoted to measurement of these constructs in published research. In this study we develop scales for commonly accepted competitive priorities, cost importance, quality importance, delivery‐time importance, and flexibility importance. We assess how well the scales capture the constructs that they represent using data collected from 114 manufacturing plants in the United States. The findings suggest that the instrument developed can provide reliable data and that the constructs measured are valid. In addition, comparisons between pairs of informants representing the same business indicate that the perceptual measures of competitive priorities are as reliable as point estimates of routine, seemingly objective information.

Purpose The researchers maintain that when a firm tackles “green concerns,” there could be several repercussions for manufacturing strategy decision areas (MS DAs). However, such repercussions are complex and have not been widely researched. This paper aims to propose a conceptual maturity stage model to study the configuration of MS DAs. Design/methodology/approach Firms exhibit different levels of “green” maturity in their journey and tend to make different choices in green technologies (GTs), resulting thereby in other compatible choices in their MS DAs. Extant literature has been synthesized in this light to build a conceptual maturity stage model in two steps. First, what is the GT that is involved! The second step discusses the possible implications of such a GT for MS DAs. Further, such information is organized according to a firm’s four maturity stages for all GTs that may be applicable. A case study has been undertaken to illustrate the model. Findings The results show good potential for the proposed conceptual model to examine the repercussions of MS DAs in industrial cases, and thereby develop relevant theories on this subject. Research limitations/implications The proposed model was applied to a paint manufacturing company, which potentially limits the findings’ generalizability to other industries and/or geographies. Practical implications The proposed conceptual model can help managers assess the maturity stages of manufacturing to determine suitable adjustments that may be required in configuring MS DAs to improve their positions. Originality/value This is among the very few models to explore the repercussions of green manufacturing for MS DAs according to the four-stage maturity model.

Purpose – This paper is to explore how cross-functional integration (CFI) of production-marketing can impact the firm’s build-to-order (BTO) competitiveness, marketing performance (MP) and financial performance (FP). Design/methodology/approach – Empirical study with the structural equation modeling approach is applied. Six hypotheses are constructed and tested based on survey data collected from Chinese manufacturing firms. Findings – The survey data supports that production-marketing integration (PMI) improves BTO competitiveness (BTOC) and MP and that BTOC also positively affects marketing outcome which, in turn, impacts a firm’s FP. The results reveal that CFI of production-marketing is an effective approach for achieving the BTO manufacturing strategy and can improve organizational performance. Originality/value – The paper uncovers the role of CFI of production-marketing in BTO manufacturing strategy and its impacts on a firm’s MP and FP and provides important managerial implications for practitioners to improve organizational time-based competitiveness and performance in today’s time-based competition era.

The classic literature about innovation conveys innovation strategy the leading and starting role to generate business growth due to technology development and more effective managerial practices. The advent of Artificial Intelligence (AI) however reverts this paradigm in the context of Industry 5.0. The focus is moving from “how innovation fosters AI” to “how AI fosters innovation”. Therefore, our research question can be stated as follows: What factors influence the effect of AI on Innovation Capacity in the context of Industry 5.0? To address this question we conduct a scoping review of a vast body of literature spanning engineering, human sciences, and management science. We conduct a keyword-based literature search completed by bibliographic analysis, then classify the resulting 333 works into 3 classes and 15 clusters which we critically analyze. We extract 3 hypotheses setting associations between 4 factors: company age, AI maturity, manufacturing strategy, and innovation capacity. The review uncovers several debates and research gaps left unsolved by the existing literature. In particular, it raises the debate whether the Industry5.0 promise can be achieved while Artificial General Intelligence (AGI) remains out of reach. It explores diverging possible futures driven toward social manufacturing or mass customization. Finally, it discusses alternative AI policies and their incidence on open and internal innovation. We conclude that the effect of AI on innovation capacity can be synergic, deceptive, or substitutive depending on the alignment of the uncovered factors. Moreover, we identify a set of 12 indicators enabling us to measure these factors to predict AI’s effect on innovation capacity. These findings provide researchers with a new understanding of the interplay between artificial intelligence and human intelligence. They provide practitioners with decision metrics for a successful transition to Industry 5.0.

PurposeThe role of industry 4.0 (I4.0) technologies for organizations to achieve a competitive advantage and mitigate disruptive emergency situations are well exhibited in literature. However, more light needs to be thrown into implementing I4.0 technologies to digitally transform organizations. This paper introduces a novel framework for formulating manufacturing strategy 4.0 (MS 4.0) that guides organizations to implement I4.0 successfully.Design/methodology/approachThe experts working in I4.0 and technology management domains were interviewed to determine the definition, role and process for formulating MS 4.0. Text mining using VOSViewer© is performed on the experts' opinions to determine the key terms from the opinions through keyword analysis. The identified key terms are mapped together using the existing traditional manufacturing strategy formulation framework to develop the MS 4.0 framework. Finally, the proposed MS 4.0 framework is validated through a triangulation approach.FindingsThis study captured the role, definition and process to formulate MS 4.0 and proposed a framework to help practitioners implement I4.0 at manufacturing organizations to achieve competitiveness during normal and emergency situations.Research limitations/implicationsThe proposed MS 4.0 framework can assist industry practitioners in formulating the strategy for implementing the I4.0 technology/gies to digitally transform their manufacturing firm to retain the maximum manufacturing output and become market competent in normal and emergency situations.Originality/valueThis study is the first of its kind in the body of knowledge to formulate a digital transformation strategy, i.e. MS 4.0, to implement I4.0 technologies through a manufacturing strategic lens.