Ravi Patnayakuni

Firm performance impacts of digitally enabled supply chain integration capabilities

Best practice exemplars suggest that digital platforms play a critical role in managing supply chain activities and partnerships that generate performance gains for firms. However, there is limited academic investigation on how and why information technology can create performance gains for firms in a supply chain management (SCM) context. Grants (1996) theoretical notion of higher-order capabilities and a hierarchy of capabilities has been used in recent information systems research by Barua et al. (2004), Sambamurthy et al. (2003), and Mithas et al. (2004) to reframe the conversation from the direct performance impacts of IT resources and investments to how and why IT shapes higher-order process capabilities that create performance gains for firms. We draw on the emerging IT-enabled organizational capabilities perspective to suggest that firms that develop IT infrastructure integration for SCM and leverage it to create a higher-order supply chain integration capability generate significant and sustainable performance gains. A research model is developed to investigate the hierarchy of IT-related capabilities and their impact on firm performance. Data were collected from 110 supply chain and logistics managers in manufacturing and retail organizations. Our results suggest that integrated IT infrastructures enable firms to develop the higher-order capability of supply chain process integration. This capability enables firms to unbundle information flows from physical flows, and to share information with their supply chain partners to create information-based approaches for superior demand planning, for the staging and movement of physical products, and for streamlining voluminous and complex financial work processes. Furthermore, IT-enabled supply chain integration capability results in significant and sustained firm performance gains, especially in operational excellence and revenue growth. Managerial initiatives should be directed at developing an integrated IT infrastructure and leveraging it to create process capabilities for the integration of resource flows between a firm and its supply chain partners.

Relational Antecedents of Information Flow Integration for Supply Chain Coordination

A new model of competition, where competition is among supply chain networks rather than individual firms, is transforming traditional market-based buyer-supplier relations to one of competition among cooperative sets. In order to integrate and realize performance gains from participating in cooperative supply networks, the importance of information sharing across the supply chain has been emphasized in different literature streams. In this study, we examine the relational antecedents of this critical aspect of supply chain integration—that is, information flow integration. Our objective is to investigate the relationship between relational orientation of the focal firm, as characterized by (1) long-term orientation of its supply chain relationships, (2) asset specificity, and (3) interaction routines and the information flow integration between a firm and its supply chain partners. A research model was developed and data were collected from 110 supply chain and logistics managers in manufacturing and retail organizations. Our results suggest that tangible and intangible resources invested in supply chain relationships enable the integration of information flows with supply chain partners. Specifically, formal and informal interaction routines that take time and effort to develop enable integration of informational flows across a firms supply chain. Investments in relation-specific assets and long-term orientation in relationships enable the development of these interaction routines.

A structural model for CASE adoption behavior

The adoption rate of computer-aided software engineering (CASE) technology continues to be low among information systems departments (ISDs). Some ISDs have reported significant hurdles in propagating CASE usage, while documenting the advantages of the technology. We construct and empirically test a theoretical model to explain CASE adoption behavior. Factors considered include need pull (environmental instability of the ISD and performance gap of the ISD), technology push (internal experimentation and learning from external information sources), and the adoption context (top-management support for the IS function, CASE championship, training availability, and job/role rotation). A national survey of 2,700 ISDs resulted in 405 usable responses for the data analysis.Our analysis suggests a reasonable fit between the model and the data. The results indicate that the need-pull factors do not directly promote CASE adoption behavior. Performance deficit promotes CASE championship behavior while negatively affecting other elements of the adoption context. The instability of ISDs, where the very existence of the ISD may be in question, negatively affects all elements of the adoption context. Learning about CASE from external information sources directly promotes CASE adoption. Both technology push factors positively affect all four elements of the adoption context. Of the contextual elements, CASE training availability, CASE championship, and job/role rotation positively affect CASE adoption behavior. Top management support does not affect CASE adoption behavior, which suggests that such support may be more critical for postadoption stages of the diffusion process.

Systems Development Process Improvement: A Knowledge Integration Perspective

Although organizations have applied a variety of practices and tools to address information systems development (ISD) performance problems, most of these approaches have focused on controlling and improving predictability of the development process. There is growing recognition that ISD is a knowledge-intensive process that requires the integration of specialized stakeholder knowledge. We develop the perspective that integration of this specialized knowledge across knowledge boundaries in the ISD process drives ISD performance. We theorize that formal and informal organizational integrative practices influence ISD performance, because they facilitate the development of boundary objects that effectively span knowledge boundaries. Results from a field study of 110 firms provide considerable support for the proposed model. This paper makes three novel contributions to the technology management literature. First, it demonstrates that knowledge integration across knowledge boundaries through boundary objects improves ISD performance. Second, it shows how formal and informal organizational integrative practices enhance the integration of specialized knowledge within and across organizational subunits. Third, it shows that the positive influence of formal and informal organizational integrative practices on ISD performance is partially mediated by knowledge integration. For engineering and technology managers, the results highlight the centrality of knowledge integration for the management of technology development. Collectively, these findings offer a novel knowledge integration-based perspective that complements prior research on systems development and new product development

A model of Internet standards adoption: the case of IPv6

Abstract.  The Internet presents a unique environment in which to study adoption. This is because of its composition of autonomous entities that are otherwise strongly interrelated. Our model of Internet standards adoption (ISA) combines diffusion of innovation and economics of adoption literature to present an integrative model. This model proposes that the adoption of Internet‐based standards is dependent upon two dimensions: the usefulness of the features to the potential adopter, and the conduciveness of the environment to adoption of the standard. This model accounts for not only the traditional dichotomous view of adoption, but also includes the notion of ‘partial adoption’, where both old and new standards can coexist for extended periods of time. As a demonstration, we apply the ISA model to the next generation Internet protocol Internet Protocol version 6 (IPv6). Despite its ostensible superiority, IPv6 has not been widely adopted. In this paper we discuss the reasons why this might be the case. Our analysis also draws wider conclusions about the adoption of Internet standards: in particular, the importance of transitional technologies between the old and new standards and the need for co‐ordinated government polices which encourage adoption. Our analysis also indicates that geopolitical boundaries may have a considerable impact on the adoption of Internet standards.

The ordinal consistency of a fuzzy preference relation

In this paper, we first analyze the rationality of weak transitivity of a fuzzy preference relation defined by Tanino [Fuzzy preference orderings in group decision making, Fuzzy Sets and Systems 12 (1984) 117-131]. We then propose a revised definition of weak transitivity (we call it ordinal consistency). We propose the ordinal consistency index (OCI) to measure the degree of ordinal consistency of a fuzzy preference relation, which is to count the unreasonable 3-cycles in a directed graph that represents the fuzzy preference relation. Afterwards, a procedure to compute the order consistency index and to locate each cycle, as well as to find the inconsistent judgments in the fuzzy preference relation is proposed. In order to repair the inconsistency of a fuzzy preference relation, an algorithm is developed to find and remove 3-cycles in the graph. The algorithm eliminates 3-cycles in a graph more effectively and the proposed method for improving consistency method aims to preserve the initial preference information of the decision maker. Furthermore, the method can be used not only for a strict fuzzy preference relation, but also for non-strict fuzzy preference relation. Finally, we provide some examples to show the effectiveness and validity of the proposed method.

A socio-technical approach to improving the systems development process

Research on improving the systems development processes has primarily focused on mechanisms such as tools, software development methodologies, knowledge sharing and process capabilities. This research has yielded considerable insights into improving the systems development process, but the large majority of information systems development projects still continue to be over budget, late, and ineffective in meeting user needs. Together with the advent of software development moving offshore, or consisting of offshore team members, a more holistic approach is appropriate. Approached from a socio-technical perspective the software development process is viewed as a process embedded in a social and a technical subsystem. Drawing upon socio-technical work design principles, this paper suggests how capabilities of the development process can be improved. Data collected from a survey of software development practices in organizations indicates that organizations at different levels of process capabilities differ in work system characteristics as well as process performance. For example, the use of multi-skilled teams was found to be significantly related to the systems development process maturity level as well as significantly related to all the performance measures studied. This paper provides empirical support for the socio-technical approach and provides a theoretical foundation for designing software process initiatives in organizations.

Improving the peer review process with information technology

Peer review is the engine of scholarship where new knowledge is legitimized. Despite technological advances in publishing and communication, the process of review has not changed since it became prevalent over 100 years ago. This paper describes how information technology can be used to improve the peer review process. Taking a combined design science and natural science approach, we design and test a prototype system based on the principles of structured communication. Through an exploratory study, we find that our proposed system is viewed more favorably by both authors and reviewers across several dimensions, including fairness, convenience, and value.

Business network agility for global demand-supply synchronization: A comparative case study in the apparel industry

Abstract Firms are looking to leverage information technology (IT) to develop higher order capabilities that span the extended enterprise, such as demand-supply synchronization for agile response in volatile markets. In this study, we examine two global firms that are both driven to become orchestrators of their respective global business networks, where product design, distribution, and manufacturing are managed as one coordinated whole. However, each firm has pursued a different business strategy to develop demand-supply synchronization capabilities. The design of their business networks, digital enablement of business processes, and product characteristics are key attributes that differentiate these firms. By conducting a comparative case analysis of both firms, we assess differences and similarities, in an effort to understand how IT capabilities and business network structure can be aligned to leverage global resources, synchronize demand and supply, and develop business network agility on a global scale.

Incomplete interval fuzzy preference relations for supplier selection in supply chain management

AbstractIn the analytical hierarchy process (AHP), it needs the decision maker to establish a pairwise comparison matrix requires n(n–1)/2 judgments for a level with n criteria (or alternatives). In some instances, the decision maker may have to deal with the problems in which only partial information and uncertain preference relation is available. Consequently, the decision maker may provide interval fuzzy preference relation with incomplete information. In this paper, we focus our attention on the investigation of incomplete interval fuzzy preference relation. We first extend a characterization to the interval fuzzy preference relation which is based on the additive transitivity property. Using the characterization, we propose a method to construct interval additive consistent fuzzy preference relations from a set of n–1 preference data. The study reveals that the proposed method can not only alleviate the comparisons, but also ensure interval preference relations with the additive consistent property. ...