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Product-service innovation (i.e. servitization) is providing opportunities to small and medium-sized enterprises (SMEs) to offer services that are directly coupled to their products. Despite scholarly efforts on servitization in domestic markets, the determinants of international product-service innovation remain unclear. Therefore, this study draws insights from dynamic capability (DC) view and aims to examine the international human capital and international product-service innovation relationship. Specifically, the authors argue that the effect of international human capital on international product-service innovation is mediated by international inter-organizational marketing capability (IIMC) and moderated by international market complexity.

The authors test the conceptual model using structural equation modeling on a sample of 211 SMEs operating in United Arab Emirates (UAE) – an emerging market economy.

The results show that IIMC mediates the relationship between international human capital and international product-service innovation. The authors further found that the indirect relationship between international human capital and international product-service innovation is strengthened when international market complexity increases in magnitude.

This study advances the knowledge on international servitization by examining international human capital and IIMC as the determinants and international market complexity as a moderator. Data collection in the UAE contributes to empirical research on international servitization from emerging markets.

The purpose of this paper is to emphasize the underlying mechanism through which firms can achieve supply chain agility and augment business performance from the vendor’s perspective.

Drawing on dynamic capability view and contingency theory, the study conceptualizes a moderated mediation model to investigate the underlying influence of process integration (PI), supply flexibility and product-related complexity on supply chain agility and the subsequent effect of supply chain agility on firm’s business performance. Survey data from a sample of 148 firms, in the garment manufacturing industry, in Pakistan were analyzed using partial least square methods.

The results revealed that supply flexibility (i.e. volume and mix) mediates the effect of PI on supply chain agility. Supply chain agility, in turn, influences a firm’s business performance. Furthermore, the competence‒capability framework is not consistent across the varying degrees of product complexity such as product complexity hinders the effect of supply flexibility on supply chain agility, whereas it amplifies the impact of PI on supply chain agility. The conditional indirect effects suggest that the indirect effect of PI on supply chain agility through supply flexibility becomes stronger when product complexity is high.

The study is novel in the context of an emerging economy to educate fashion vendors to tune their competencies and capabilities to regain the market share in the global market place.

Drawing on the theoretical lens of the job demands-resources model, this study builds upon and tests a conceptual model that links customer prioritization, product complexity, business ties, job stress and customer service performance. Conceptualizing customer prioritization and product complexity as job demands and business ties as personal job resources, this research explicates the mediating process by which customer prioritization and product complexity affect customer service performance through job stress and its boundary conditions. The purpose of this paper is to offer a theoretical framework in which business ties moderates the mediated relations of customer prioritization and product complexity to customer service performance.

Structural equation modeling and a moderated mediation analysis were used on a unique multi-level, multi-respondent data set of 248 participants from 124 small and medium-sized enterprises in Turkey.

This study finds that both customer prioritization and product complexity increase job stress. In addition, this paper finds that business ties have a bitter-sweet nature as a personal resource and reverse the relation of customer prioritization to job stress while strengthening the negative direct relation of product complexity to job stress. Finally, this study finds that the indirect relation of customer prioritization to customer service performance through job stress is contingent on business ties. Specifically, this paper finds that high levels of business ties negate the indirect relation of customer prioritization to customer service performance while low levels of business ties exacerbate the negative effects of customer prioritization to customer service performance, channeled through job stress.

The findings demonstrate the critical role that personal networks play in reducing job stress and enhancing customer service performance for small and medium-sized enterprises that adopt customer-centric strategies such as customer prioritization. Nevertheless, the results suggest that the managers need to cognizant of the undesirable consequences of business ties may have on job stress when boundary-spanners handle a wide range of products/services that are technically complex. Accordingly, this study recommends small and medium-size enterprise managers and owners should be cautious in resource allocation to establish informal, personal ties with suppliers, competitors, customers and other market collaborators.

This paper offers a deeper perspective of the relations of customer prioritization and product complexity to job stress and customer service performance. This study also specifies business ties as a personal coping resource, which decreases the undesirable consequences when used in small and medium enterprises that adopt customer-centric strategies.

Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

Complex technology not only provides potential economic benefits but also increases the difficulty of application. Whether and how upstream technological complexity affects downstream manufacturers' innovation through vertical separation structure is worth discussing, but it has not been effectively discussed.

Through theoretical analysis and empirical testing, this article discusses the cost effect and market competition effect caused by upstream technological complexity on downstream manufacturers and further elucidates the impact of upstream technological complexity on downstream manufacturers' innovation.

Research has found that the impact of upstream technological complexity on the downstream manufacturers' innovation depends on the cost effect and market competition effect. The cost effect caused by the complexity of upstream technology inhibits the innovation of downstream manufacturers. In contrast, the market competition effect promotes the innovation of downstream manufacturers. There are differences in the cost effect and market competition effect of upstream technological complexity on different types of downstream manufacturers, so there is also significant heterogeneity in the impact of upstream technological complexity on innovation of different types of downstream manufacturers.

The conclusions of this article improve the understanding of the relationship between upstream technological complexity and downstream innovation and provide helpful implications for industrial chain innovation.

This study aims to investigate the relationship between building smart factories in manufacturing small- and medium-sized enterprises (SMEs) and firm performance and the moderating effect according to product complexity and company size.

Data were collected from 206 companies selected in the list of SMEs, which had built smart factories, provided by the Smart Manufacturing Innovation Center in Korea. The collected data were analyzed using structural equation modeling (SEM) technique.

First, production automation and big data utilization are associated positively with productivity, but not significantly with export performance. Second, supply chain integration is associated positively with both productivity and export performance. Third, product complexity moderates negatively the relationship of productivity with each of production automation, big data utilization and supply chain integration while moderating positively the relationship between supply chain integration and export performance. Finally, company size does not moderate significantly the relationship between productivity or export performance with any of production automation, big data utilization and supply chain integration.

This study contributes theoretically to literature by demonstrating the usefulness of building smart factories and suggesting how SMEs build a smart factory to enhance productivity and export performance from a business perspective. Moreover, this study contributes practically by proposing that SMEs should put priority on supply chain integration over production automation and big data utilization and execute different strategies of building smart factories depending on product complexity.

The purpose of this paper is to explore the nature of a competitive action and its impact on the response of rivals in the digital market. Specifically, this paper introduces the concept of action complexity and action variation to delineate the configuration characteristics of each digital competitive action and empirically investigates how these action characteristics further affect rivals’ response speed.

This paper uses structural content analysis methods to code competitive actions based on the news of Chinese online travel agencies (OTAs) from 2010 to 2015. The cox proportional hazards regression models are employed to test the hypotheses.

The results indicate that action complexity of the focal firm is negatively associated with rivals’ response speed as it constrains their interpretation (awareness), motivation and capability to respond, while action variation of the focal firm is positively associated with rivals’ response speed as it enhances their attention (awareness) and motivation to respond. Furthermore, the negative relationship between action complexity and response speed is weaker when action variation is high.

Further to advancing competitive dynamics theory, this paper proposes an action-configuration perspective to explore the particular content and quality of each digital competitive action. The discussion of competitive rivalry between OTAs also enriches the application of competitive dynamics in the digital market. Meanwhile, this paper further clarifies the decision-making process of rivalry drawing on the awareness–motivation–capability (AMC) framework.

For many firms the problems of manufacturing, marketing and distributing a complex product line persist, and it is driving up costs in an economy where cutting costs is essential to survival. This paper aims to promote the innovative concept of “Smart Complexity.”

This paper explains how a firm can adopt this new complexity management concept. It is an approach that challenges the notion that every new product variant drives growth.

Recently, a company that adopted this approach increased margins by 1 to 3 percent and set the foundation for ongoing improvements in profitability.

This four‐pronged approach to complexity management starts with consumer research to find the right level of variety. It adds richer SKU‐based data on costs across each step of a newly transparent value chain. It brings this data to a cross‐functional, integrated decision process. Finally, it implements process changes to ensure complexity is governed and managed over time.

The leadership lesson: desirable complexity drives consumer buying decisions. Undesirable complexity unduly complicates internal processes without making a whit of difference to the consumer. The new concept of Smart Complexity distinguishes between the two.

Through primary research based on interviews with key executives in 20 of the largest hotel groups operating in the UK short‐break market, presents the case that in the UK short‐break market complexity is deliberately being managed to enhance rewards for hotel groups and that this protects market share by raising supplier complexity and gains additional market share through lowering complexity for the consumer. Argues that the key element in managing complexity is the use of supply‐and demand‐side technology, and that as the technology develops further the concept of managing complexity as opposed to simply minimizing or adapting to it will become more widespread. Contends that such developments have key implications for the future structure of the UK short‐break market and indeed other hospitality‐based markets of the future.

This study theoretically articulates and empirically validates a model of relationships between market complexity (competition intensity, heterogeneity and technological change), strategic focus on product and service differentiation, ADS offerings and differentiation advantage.

The authors develop and test hypotheses through structural equation modeling based on data from the Sixth International Manufacturing Strategy Survey (IMSS-VI), involving 931 manufacturers from 22 countries.

The results indicate that (1) market complexity has a positive impact on strategic focus on product and service differentiation; (2) focus on product and service differentiation, but not market complexity, has a positive impact on the extent to which business units offer ADS to their customers; (3) ADS have a positive impact on service differentiation advantage, but no influence on product differentiation advantage.

Managers should incorporate decisions related to ADS provision as part of their manufacturing strategy formulation processes to align markets, strategic focus on product and service differentiation, and ADS provision. ADS seem an appropriate lever for market differentiation, because they appear not only to support service differentiation advantage, but also to be consistent with strategic focus on product differentiation.

The study provides novel insights and large-scale empirical evidence on the influence of the market environment on the offering of ADS, as well as on how relationships between the product and service activity in the manufacturing organization may affect differentiation advantage.