Strategy,human capital investments,business‐domain capabilities,and performance: a study in the global software services industry

Research summary : In knowledge‐based industries, continuous human capital investments are essential for firms to enhance capabilities and sustain competitive advantage. However, such investments present a dilemma for firms, because human resources are mobile. Using detailed project‐level operational, financial, and human capital data from a leading multinational firm in the global IT services industry, this study finds that deliberate investments in improving general human capital can help firms develop superior capabilities and maintain high profits. This paper identifies two types of capabilities essential for success in this industry—technological and business‐domain capabilities—and provides empirical evidence justifying such investments. Theoretical and practical implications of capability‐seeking general human capital investments are discussed. Managerial summary : The primary managerial implication of this research is that capability‐seeking investments in developing general human capital through strategic learning (training and internal certifications) can enhance firm performance. Although investing in general human capital is risky, the firm considered this a strategic necessity in order to thrive in the fast paced IT services industry. By leveraging general technological skills in combination with business‐domain knowledge to address customer's business problems firms can earn and sustain higher profits. Our study also demonstrates how a developing‐country firm responded to strong competitive challenge from global rivals possessing superior capabilities by upgrading the capabilities of its employees through internal development. In doing so the firm was able to narrow the capability gap vis‐à‐vis its foreign peers and expand its business globally. Copyright © 2016 John Wiley & Sons, Ltd.     

Technology Exploitation Paths: Combining Technological and Complementary Resources in New Product Development and Licensing

Technological resources in the form of patents, trade secrets, and know‐how have become key assets for modern enterprises. This paper addresses a critical issue in technology and innovation management, namely, the commercial exploitation of technological resources resulting from research and development (R&D) investments. Extracting economic value from these resources by maximizing the benefits for shareholders is an extremely challenging task because technological resources are intangible, idiosyncratic, uncertain, predominantly tacit, and with poorly defined property rights. In their attempt to extract the maximum value from their technological resources, firms increasingly combine their internal exploitation through new product development (NPD) with external exploitation through licensing. However, most existing studies on NPD and technology licensing have treated the two exploitation paths independently and in isolation, which has resulted in two separate research streams using different theories and addressing different managerial challenges. The purpose of this paper is to contribute to filling this gap by developing and testing a comprehensive conceptual framework that simultaneously considers the antecedents affecting the successful implementation of NPD and licensing strategies as well as their consequences on firm profitability. The paper in particular investigates the effects of the interplay between technological resources and three types of complementary resources, marketing, manufacturing, and relational. We test the model using structural equation modeling on a sample of 733 Spanish manufacturing firms observed from 2003 to 2007. The data provide support for the existence of different paths to market firm technologies: an internal path, whereby the ownership of technological resources fully explains NPD performance, and an external path, whereby high intensity of marketing and relational resources reinforces the positive effect of technological resources on licensing performance. This sustains the relevance of the resource‐based value‐enhancing effects of complementary resources in licensing, as opposed to the motivation‐reducing effects advanced by transaction cost‐based literature. Moreover, the empirical analysis shows a substitution effect between NPD and licensing, whereby their simultaneous pursuit at intense levels is associated with lower profit margins. This provides evidence of the much theorized, but seldom tested, rent dissipation effect. These findings offer several contributions to research on licensing, NPD, open innovation, and the resource‐based view of the firm. On a managerial level, they suggest that achieving maximum value from proprietary technologies may not entail exploiting them both through external and internal paths. Managers are also informed that the resource combinations that enhance licensing performance include marketing and relational resources.     

Does ICT create a new driving force for manufacturing?—Evidence from Chinese manufacturing firms

The Internet has changed the global economic landscape. In particular, the fast-changing Information and Communication Technology (ICT) has directly led to a far-reaching impact on the production and operation of firms. Many previous studies have discussed the relationship of ICT and the total factor productivity (TFP) of firms, but failed to reach a consistent conclusion. This paper, based on the data of Chinese listed manufacturing firms from 2010 to 2019, explores the impact of ICT on manufacturing firms' TFP and its mechanism, and concludes that ICT have positive correlation with the TFP of manufacturing firms. According to the estimated results of this paper, TFP will increase by about 1.8 % for every 1 % of additional ICT investment. Through channel analysis, this paper finds that the positive effect can be achieved through the following four channels: cutting information search costs, enhancing information processing capabilities, reducing internal capital misallocation, and promoting R&D efficiency. This paper is a supplement to research on firm TFP, provides new micro-evidence for exploring the relationship between ICT and TFP of manufacturing firms, and brings important implications for understanding the role of ICT in firm production activities.     

Differentiating Major and Incremental New Product Development: The Effects of Functional and Numerical Workforce Flexibility*

This study seeks to explain the differential effects of workforce flexibility on incremental and major new product development (NPD). Drawing on the resource‐based theory of the firm, human resource management research, and innovation management literature, the authors distinguish two types of workforce flexibility, functional and numerical, and hypothesize differential effects on NPD outcomes. A large‐scale sample of 284 Dutch firms across various manufacturing goods and business services industries serves to test these hypotheses. The results suggest that functional flexibility positively influences incremental NPD only, internal numerical flexibility negatively influences incremental NPD only, and external numerical flexibility positively influences major NPD only. Thus, differences between major and incremental NPD are grounded in the human resource flexibility of the firm. This complements research that found that such differences lie in critical development activities, learning processes, and capabilities. It also complements product innovation research on flexibility in NPD processes and on flexibility in organizational structures and routines. It extends the resource‐based theory of the firm suggesting that human resource flexibility is part of the dynamic capabilities that allow firms to reconfigure existing competencies. The conclusions imply that managers of manufacturing and service firms may use training and education and create a functional flexible workforce that can progressively enhance incremental NPD outcomes. They may want to avoid paying overtime, because such internal numerical flexibility hampers incremental NPD, but use fixed‐term contracts to expand external numerical flexibility to enhance major NPD.     

Learning Capability,Technological Parity,and Innovation Mode Use*

The purpose of this research was to examine whether a firm's learning capability interacts with industry technological parity to predict innovation mode use. Learning capability is conceptualized in the current research as a firm's ability to develop or acquire the new knowledge‐based resources and skills needed to offer new products. Industry technological parity is conceptualized as the extent to which similarity and equality exist among the technological competencies of the firms in an industry. Three generic modes of innovation are considered: internal, cooperative, and external innovation. These modes reflect the development of new products based solely on internal resources, the collaborative development of new products (i.e., with one or more development partners), and the acquisition of fully developed products from external sources, respectively. The premises of this research are that (1) technological parity can create incentives or disincentives for innovating in a particular mode, depending upon the value of external innovative resources relative to the value of internal innovative resources and (2) firms will choose innovation modes that reflect a combination of their abilities and incentives to innovate alone, with others, or through others. Survey research and secondary sources were used to collect data from 119 high‐technology firms. Results indicate that firms exhibit greater use of internal and external innovation when high levels of industry technological parity are matched by high levels of firm learning capability. By contrast, a negative relationship between learning capability and industry technological parity is associated with greater use of the cooperative mode of innovation. Thus, a single, common internal capability—learning capability—interacts with the level of technological parity in the environment to significantly predict three distinct innovation modes—modes that are not inherently dependent upon one another. As such, a firm's internal ability to innovate, as reflected in learning capability, has relevance well beyond that firm's likely internal innovation output. It also predicts the firm's likely use of cooperative and external innovation when considered in light of the level of industry technological parity. A practical implication of these findings is that companies with modest learning capabilities are not inherently precluded from innovating. Rather, they can innovate through modes for which conditions in their current environments do not constitute significant obstacles to innovation output. In particular, modest learning capabilities are associated with higher innovative output in the internal, cooperative, and external modes when industry technological parity levels are low, high, and low, respectively. Conversely, strong learning capabilities tend to be associated with higher innovative output in the internal, cooperative, and external modes when industry technological parity levels are high, low, and high, respectively.     

Relation‐specific capabilities and barriers to knowledge transfers: creating advantage through network relationships

This study examines the role of network knowledge resources in influencing firm performance. More specifically: Can a firm that uses the identical supplier network as competitors and purchases similar inputs from the same plants achieve a competitive advantage through that network? In a sample of U.S. automotive suppliers selling to both Toyota and U.S. automakers, we found that greater knowledge sharing on the part of Toyota resulted in a faster rate of learning within the suppliers' manufacturing operations devoted to Toyota. Indeed, from 1990 to 1996 suppliers reduced defects by 50 percent for Toyota vs. only 26 percent for their largest U.S. customer. The quality differences were found to persist within suppliers because the inter‐organizational routines and policies at GM, Ford, and Chrysler acted as barriers to knowledge transfers within suppliers' plants. These findings empirically demonstrate that network resources have a significant influence on firm performance. We also show that some firm resources and capabilities are relation‐specific and are not easily transferable (redeployable) to other buyers or networks. This result implies that a firm may be on its production possibility frontier for each customer but the productivity frontier will be different for each customer owing to constraints associated with the customer's network. Copyright © 2006 John Wiley & Sons, Ltd.     

"Managing" Learning by Doing: An Empirical Study in Semiconductor Manufacturing

This article examines the contributions of human resource and organizational practices to the development and supply chain management interface. It addresses this issue in the context of the semiconductor industry by highlighting the importance of these practices for learning‐based improvement in manufacturing. One of the most important factors for competitiveness in the semiconductor industry is the ability to manufacture new process technologies with high yields and low cycle times. The more effective management of new process technologies within the manufacturing facility aids firms in managing production costs, volumes, and inventories. Efficient management of new process development and introduction translates into enhanced internal supply chain management performance by improving the design of internal workflows, manufacturing performance, and the acquisition and installation of new manufacturing processes. Because much of the knowledge that underpins semiconductor manufacturing is idiosyncratic, however, firm‐level differences in human resource and organizational practices are likely to have consequences for performance. The article derives learning curve models of the rate of improvement in manufacturing yield (i.e., the rate of learning) and cycle time (i.e., the speed of production) following the introduction of a new process technology in a manufacturing facility. It then tests the influence of the use by semiconductor manufacturers of teams for problem solving and intrafirm knowledge transfer, the level of internal adoption of information technology (IT), and more extensive and effective workflow and production scheduling systems on manufacturing performance. It finds that the manners in which semiconductor manufacturers allocate engineering resources to problem‐solving activities, utilize information technology in the manufacturing facility, schedule production, and control the “shop floor” influence the levels and rates of improvement in both manufacturing performance measures. The article makes several contributions to the literature on product and process development and, accordingly, to research on the product development/supply chain interface. In particular, the model of organizational‐based learning provides a better understanding of the determinants of learning‐based performance improvement. In particular, better manufacturing performance results not strictly from greater cumulative volume but also from the actions of managers that affect the organization of establishment‐level problem‐solving activities and information exchange. The article also demonstrates that human resource and organizational practices in both the development and the adoption of new process technologies improve manufacturing performance by accelerating new product introduction, improving workflow, and enhancing the efficiency of manufacturing processes.     

Chief executive scanning emphases,environmental dynamism,and manufacturing firm performance

Chief executives must allocate their scarce time for scanning efforts among relevant domains of their firms' external environment and their firms' internal circumstances. We argue that high‐performing CEOs vary their relative scanning emphases on different domains according to the level of dynamism they perceive in their external environments. The concepts of dominant logic and sector importance were used to develop predictions about which external domains and which internal domains should receive relatively more or less scanning emphasis in external environments that, overall, are more dynamic or more stable. A field survey of 105 single‐business manufacturing firms evaluated CEOs' scanning emphases and firm performance. Results indicated that, for dynamic external environments, relatively more CEO attention to the task sectors of the external environment and to innovation‐related internal functions was associated with high performance. In stable external environments, however, simultaneously increased scanning of the general sectors in the external environment and efficiency‐related internal functions produced higher performance. These relationships were strongest between relative scanning emphases among domains and sales growth. We discuss the implications of these results for researchers and practitioners. Copyright © 2003 John Wiley & Sons, Ltd.     

Flexibility of manufacturing systems,strategic change and performance

The past decade has witnessed an increase of interest in flexibility, which bestows on a firm the ability to respond promptly to market opportunities and changing technologies. The development of capabilities to be flexible rests on the mandate of top management, helps firms manage environmental uncertainty, and tends to enhance firm performance. This research paper aims to establish an analytical approximation that considers how the determinants of manufacturing flexibility at the system level affect the desired strategic change in organizations, as well as subsequent performance. We propose the hypotheses that both environmental factors and internal resources affect flexibility, this latter aspect influencing the organization's performance. The problems that stem from measuring manufacturing flexibility in terms of fit were also analyzed. In order to do this, we have made a wide-ranging trans-national study, within the framework of the European Union, using data from 403 European firms. The Structural Equation Model (SEM) technique has been used to contrast the hypotheses. The results show that manufacturing flexibility at system level can be a critical factor in the process of strategic change, which means that it can have an impact on the desirability of strategic change or on the more specific strategic fit.     

Manufacturing‐based relatedness,synergy, and coordination

This paper explores the basic question of whether manufacturing‐based relatedness between business units within a multibusiness firm serves as a basis for a competitive advantage at the business unit level. We developed a system for describing manufacturing relatedness that combines the study of value chain activities with 4‐digit SIC codes, then we assessed presence of manufacturing synergies. We found no evidence that, on average, organizations involved in manufacturing‐related businesses are reaping financial benefits from shared resources in manufacturing. However, some firms, through explicit commitment to coordination, do realize performance benefits from such involvement. Copyright © 1999 John Wiley & Sons, Ltd.     

Industry learning environments and the heterogeneity of firm performance

This paper characterizes interindustry heterogeneity in rates of learning‐by‐doing, and examines how industry learning rates are connected with firm performance. Using plant‐level data from the U.S. manufacturing sector, we measure the industry learning rate as the coefficient on cumulative output in a production function. We find that learning rates vary considerably among industries and are higher in industries with greater R&D, advertising, and capital intensity. More importantly, we find that higher rates of learning are associated with wider dispersion of Tobin's q and profitability among firms in the industry. These findings suggest that learning intensity represents an important characteristic of the industry environment that affects the range of firm performance. Copyright © 2009 John Wiley & Sons, Ltd.     

Product Innovation Processes in Small Firms: Combining Entrepreneurial Effectuation and Managerial Causation

This article reports a multimethod study of product innovation processes in small manufacturing firms. Prior studies found that small firms do not deploy the formalized processes identified as best practice for the management of new product development (NPD) in large firms. To explicate small firms' product innovation, this study uses effectuation theory, which emerged from entrepreneurship research. Effectuation theory discerns two logics of decision‐making: causation, assuming that means are selected to attain goals; and effectuation, assuming that goals are created based upon available means. The study used a process research approach, investigating product innovation trajectories in five small firms across 352 total events. Quantitative analyses revealed early effectuation logic, which increasingly turned toward causation logic over time. Further qualitative analyses confirmed the use of both logics, with effectual logic rendering product innovation resource‐driven, stepwise, and open‐ended, and with causal logic used especially in later stages to set objectives and to plan activities and invest resources to attain objectives. Because the application of effectuation logic differentiates the small firm approaches from mainstream NPD best practices, this study examined how small firms' product innovation processes deployed effectuation logic in further detail. The small firms: (1) made creative use of existing resources; (2) scoped innovations to be realizable with available resources; (3) used external resources whenever and wherever these became available; (4) prioritized existing business over product innovation projects; (5) used loose project planning; (6) worked in steps toward tangible outcomes; (7) iterated the generation, selection, and modification of goals and ideas; and (8) relied on their own customer knowledge and market probing, rather than early market research. Using effectuation theory thus helps us understand how small firm product innovation both resembles and differs from NPD best practices observed in larger firms. Because the combination of effectual and causal principles leverages small firm characteristics and resources, this article concludes that product innovation research should more explicitly differentiate between firms of different sizes, rather than prescribing large firm best practices to small firms.     

Foreign entry and firm R&D: evidence from Chinese manufacturing industries

By making use of firm‐level panel data from 2005 to 2007, this paper empirically examines the relationship between research and development (R&D) behaviour and the presence of foreign firms in China's four major manufacturing industries. The manufacturing industries considered are (1) car manufacturing, (2) household electrical appliances, (3) electronics and (4) communication equipment manufacturing. We find that the presence of foreign firms has resulted in a significant increase in R&D intensity of all four manufacturing industries in China. While the average R&D intensity in communication equipment manufacturing is the highest, the electronics industry, which has the highest level of foreign presence, has experienced a relatively large increase in R&D intensity. This suggests that China's electronics manufacturing sector is responding to rising competition from foreign firms located in China. Foreign presence in China's car manufacturing sector is relatively small, and this industry has experienced a relatively small increase in R&D intensity because of foreign presence.     

Pricing process as a capability: a resource‐based perspective

Strategists following the resource‐based view argue that firms can generate rents through value creation. To create value, firms develop and use resources and capabilities that other firms cannot imitate, trade for, or substitute other assets for. Even a firm that has created value, however, may not capture the potential rents associated with that value. To capture rents, a firm must set the right prices for what it sells. Most views of pricing assume that a firm can readily set appropriate prices. In contrast, we argue that pricing is a capability. To develop the ability to set the right prices, a firm must invest in resources and routines. We base our argument on a study of the pricing process of a large Midwestern manufacturing firm. We show that pricing resources, routines, and skills may help or inhibit a firm in setting the right price—and hence in appropriating value created. Our view of pricing as a capability contributes to the resource‐based view because it suggests that strategists should consider the portfolio of value creation and value appropriation capabilities a firm uses to create competitive advantage. Our view also contributes to economics because it suggests that strategic decisions about pricing capabilities have important implications for a fundamental economic action, determining prices. Managers in firms without effective pricing processes may be unable to set prices that reflect the wishes of its customers, so the customers may misuse their resources. As a result, resources may be used ineffectively. Our view of pricing as a capability therefore takes the resource‐based‐view straight to the heart of what is perhaps the central economic question: the best use of resources. Copyright © 2003 John Wiley & Sons, Ltd.     

Human capital and learning as a source of sustainable competitive advantage

This paper seeks to identify the sources of wide and persistent variations in learning performance in the semiconductor manufacturing industry. In the resource‐based view of the firm, human capital is frequently assumed to contribute to competitive advantage due to its inimitability based on its intangible, firm‐specific, and socially complex nature. Consistent with this view, we find that investments in firm‐specific human capital have a significant impact on learning and firm performance. More specifically, human capital selection (education requirements and screening), development through training, and deployment significantly improve learning by doing, which in turn improves performance. However, we find that acquiring human capital with prior industry experience from external sources significantly reduces learning performance. We also find that firms with high turnover significantly underperform their rivals, revealing the time‐compression diseconomies that protect firm‐specific human capital from imitation. These results provide new empirical evidence of the inimitability of human capital. Copyright © 2004 John Wiley & Sons, Ltd.     

Do technology and manufacturing strategy links enhance operational performance? Empirical research in the auto supplier sector

Although much of the literature on manufacturing strategy (MS) and technology studies the implementation and impact of these manufacturing programs in isolation, this paper goes further by assessing the joint implementation and effect of these two manufacturing programs on performance, even when some contextual factors are present. Thus, this paper investigates how plants from the auto supplier sector make use of some operations practices from manufacturing strategy (MS) and from both product and process technology, by testing the effectiveness of both sets of practices, with the ultimate goal of enhancing operational performance. The results suggest that there are only very minor differences between high and standard performers on the aggregated level for technology practices, which may be the reason why technology does not result in significant performance differences between the two plant types. On the other hand, on the aggregated levels, there are somewhat greater differences for MS practices than for technology in both plant types, leading to larger differences in performance. While this study provides a foundation for examining MS, technology and context within a single framework, it is only through further research that a full understanding of the relationship between them will be obtained.     

Transferring process equipment innovations from user-innovators to equipment manufacturing firms

Abstract Product users are not usually thought of as product innovators. We have found, however, that 67|X% of the significant process equipment innovations in the two fields of semiconductor manufacture and electronic subassembly manufacture were in fact developed by equipment users rather than equipment manufacturers. Our analysis of the process by which these user innovations are transferred to the first firm to manufacture them commercially shows three major patterns: 46|X% transferred by multiple user-manufacturer interactions; 21|X% transferred via a direct purchase order from the inventive user; 8|X% manufactured by a user firm for commercial sale. A final 25|X%, we found, were apparently not transferred, but were reinvented by the equipment manufacturing firm.
Inventive user firms and adopting equipment manufacturing firms are characterized, and the implications of our findings discussed.     

Market Orientation and Innovativeness in Supply Chains: Supplier's Impact on Customer Satisfaction

As today's firms increasingly outsource their noncore activities, they not only have to manage their own resources and capabilities, but they are ever more dependent on the resources and capabilities of supplying firms to respond to customer needs. This paper explicitly examines whether and how firms and suppliers, who are both oriented to the same customer market, enable innovativeness in their supply chains and deliver value to their joint customer. We will call this customer of the focal firm the “end user.” The authors take a resource‐dependence perspective to hypothesize how suppliers' end‐user orientation and innovativeness influence downstream activities at the focal firm and end‐user satisfaction. The resource dependence theory looks typically beyond the boundaries of an individual firm for explaining firm success: firms need to satisfy customer demands to survive and depend on other parties such as their suppliers to achieve customer satisfaction. Accordingly, the research design focuses on three parties along a supply chain: the focal firm, a supplier, and a customer of the focal firm (end user). The results drawn from a survey of 88 matched chains suggest the following. First, customer satisfaction is driven by focal firms' innovativeness. A focal firm's innovativeness depends, on the one hand, on a focal firm's market orientation and, on the other hand, on its suppliers’ innovativeness. Second, no relationship could be established between a focal firm's market orientation and a supplier's end‐user orientation. Market orientation typically has within‐firm effects, while innovativeness has impact beyond the boundaries of the firm. These results suggest that firms create value for their customer through internal market orientation efforts and external suppliers' innovativeness.     

Buyer-supplier relational strength and buying firm's marketing capability: An outside-in perspective

Extant literature in marketing capability with an inside-out perspective stresses existing internal resources as the basis for developing marketing capability. This study, taking an outside-in perspective, argues that starting from external environment and developing strong buyer-supplier relationship can help formulate strong marketing capability of the buying firm. Using survey data from 199 Chinese manufacturing buyers who identified 937 suppliers, we found that strong buyer-supplier relationship can breed strong supplier information sharing and supplier flexibility, which fully mediate the effect of buyer-supplier relationship on buying firms' marketing capability. The findings provide support to the outside-in approach and reveal how external inter-firm relationship can be turned into intra-firm capability, and suggest that strong upstream buyer-supplier relationship can be a necessity for building downstream buyers' marketing capabilities. The findings also suggest an alternative strategy for developing marketing capabilities starting from external suppliers, and may help close the gap between marketing capability and dynamic external environment.     

How do internal capabilities and external partnerships affect innovativeness?

How do a firm’s internal capabilities and external partnerships contribute to its product and process innovativeness? How do their impacts differ? Based on the theoretical framework of exploitation and exploration, we develop an integrative model linking the impact of both internal capabilities and external partnerships on product and process innovativeness. Survey responses from Taiwanese biotechnology firms indicate that research and development (R&;D), marketing, and manufacturing capabilities have different effects on product and process innovativeness. Of the four types of external partnerships, only partnerships with universities and research institutes seem to add value, whereas partnerships with suppliers, customers, and competitors do not contribute to innovativeness. Moreover, marketing capability and customer partnerships have a positive interaction effect on product innovativeness, while manufacturing capability and supplier partnerships have a positive interaction effect on process innovativeness.