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Article
Publication date: 10 August 2012

Casey G. Cegielski, L. Allison Jones‐Farmer, Yun Wu and Benjamin T. Hazen

The purpose of this paper is to employ organizational information processing theory to assess how a firm's information processing requirements and capabilities combine to…

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11637

Abstract

Purpose

The purpose of this paper is to employ organizational information processing theory to assess how a firm's information processing requirements and capabilities combine to affect the intention to adopt cloud computing as an enabler of electronic supply chain management systems. Specifically, the paper examines the extent to which task uncertainty, environmental uncertainty, and inter‐organizational uncertainty affect intention to adopt cloud computing technology and how information processing capability may moderate these relationships.

Design/methodology/approach

The paper uses a multiple method approach, thus examining the hypothesized model with both quantitative and qualitative methods. To begin, the paper incorporates a Delphi study as a way in which to choose a practically relevant characterization of the moderating variable, information processing capability. The authors then use a survey method and hierarchical linear regression to quantitatively test their hypotheses. Finally, the authors employ interviews to gather additional qualitative data, which they examine via use of content analysis in order to provide additional insight into the tenability of the proposed model.

Findings

The quantitative analysis suggests that significant two‐way interactions exist between each independent variable and the moderating variable; each of these interactions is significantly related to intention to adopt cloud computing. The qualitative results support the assertion that information processing requirements and information processing capability affect intention to adopt cloud computing. These findings support the relationships addressed in the hypothesized model and suggest that the decision to adopt cloud computing is based upon complex circumstances.

Research limitations/implications

This research is limited by the use of single key informants for both the quantitative and qualitative portions of the study. Nonetheless, this study enhances understanding of electronic supply chain management systems, and specifically cloud computing, through the application of organizational information processing theory. The authors’ mixed‐methods approach allowed them to draw more substantive conclusions; the findings provide a theoretical and empirical foundation for future research in this area, and also suggest the use of additional theoretical perspectives.

Practical implications

This study provides insight that can help supply chain managers to better understand how requirements, when coupled with capabilities, may influence the decision to adopt cloud computing as an enabler of supply chain management systems.

Originality/value

As an emerging technology, cloud computing is changing the form and function of information technology infrastructures. This study enhances the understanding of how this technology may diffuse within the supply chain.

Details

The International Journal of Logistics Management, vol. 23 no. 2
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 16 August 2021

Gayathri Giri and Hansa Lysander Manohar

Drawing inspiration from the organizational information processing theory, the technology acceptance model (TAM) and the theory of motivation, this study aims to examine…

Abstract

Purpose

Drawing inspiration from the organizational information processing theory, the technology acceptance model (TAM) and the theory of motivation, this study aims to examine the acceptance of private and public blockchain technology-based collaboration among supply chain practitioners.

Design/methodology/approach

A total of 257 samples were collected through a survey from supply chain practitioners. The study used parallel mediators of perceived usefulness (extrinsic motivation) and perceived ease of use (intrinsic motivation) to measure behavioral intention to use.

Findings

The results reveal that partial mediation exists between blockchain-based collaboration (private and public) and behavioral intention to use. For perceived usefulness, a stronger mediating effect was found between private blockchain-based collaboration and behavioral intention to use. For perceived ease of use, a stronger mediating effect was found between public blockchain-based collaboration and behavioral intention to use.

Originality/value

By integrating insights from the organizational information processing theory, the TAM and the theory of motivation, this study provides an in-depth understanding of how the distinct features of information processing in blockchain technology-based collaboration influence the supply chain practitioners’ to accept it. The novelty and results of the study expand the existing literature and pave the way for future research.

Details

Supply Chain Management: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 4 December 2018

Sarah Zelt, Jan Recker, Theresa Schmiedel and Jan vom Brocke

Many researchers and practitioners suggest a contingent instead of a “one size fits all” approach in business process management (BPM). The purpose of this paper is to…

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1604

Abstract

Purpose

Many researchers and practitioners suggest a contingent instead of a “one size fits all” approach in business process management (BPM). The purpose of this paper is to offer a contingency theory of BPM, which proposes contingency factors relevant to the successful management of business processes and that explains how and why these contingencies impact the relationships between process management and performance.

Design/methodology/approach

The authors develop the theory by drawing on organizational information processing theory (OIPT) and applying an information processing (IP) perspective to the process level.

Findings

The premise of the model is that the process management mechanisms such as documentation, standardization or monitoring must compensate for the uncertainty and equivocality of the nature of the process that has to be managed. In turn, managing through successful adaptation is a prerequisite for process performance.

Research limitations/implications

The theory provides a set of testable propositions that specify the relationship between process management mechanisms and process performance. The authors also discuss implications of the new theory for further theorizing and outline empirical research strategies that can be followed to enact, evaluate and extend the theory.

Practical implications

The theory developed in this paper allows an alternative way to describe organizational processes and supports the derivation of context-sensitive management approaches for process documentation, standardization, monitoring, execution and coordination.

Originality/value

The theoretical model is novel in that it provides a contextualized view on BPM that acknowledges different types of processes and suggests different mechanisms for managing these. The authors hope the paper serves as inspiration both for further theory development as well as to empirical studies that test, refute, support or otherwise augment the arguments.

Details

Business Process Management Journal, vol. 25 no. 6
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 3 June 2020

Marc van den Berg, Hans Voordijk and Arjen Adriaanse

The purpose of this study is to explore how demolition contractors coordinate project activities for buildings at their end-of-life. The organizations are thereby…

Abstract

Purpose

The purpose of this study is to explore how demolition contractors coordinate project activities for buildings at their end-of-life. The organizations are thereby conceptualized as information processing systems facing uncertainty.

Design/methodology/approach

A multiple-case study methodology was selected to gain in-depth insights from three projects with different end-of-life strategies: a faculty building (material recycling), a nursing home (component reuse) and a psychiatric hospital (element reuse). Using a theory elaboration approach, the authors sought to explain how and why demolition contractors process information for end-of-life coordination.

Findings

End-of-life strategies differ in the degree of building, workflow and environmental uncertainty posed to the demolition contractor. Whether or not a strategy is effective depends on the (mis)match between the specific levels of uncertainty and the adopted coordination mechanisms.

Research limitations/implications

The explanatory account on end-of-life coordination refines information processing theory for the context of (selective) demolition projects.

Practical implications

The detailed case descriptions and information processing perspective enable practitioners to select, implement and reflect on coordination mechanisms for demolition/deconstruction projects at hand.

Originality/value

Reflecting its dual conceptual-empirical and inductive-deductive focus, this study contributes with new opportunities to explain building end-of-life coordination with a refined theory.

Details

Construction Innovation , vol. 20 no. 4
Type: Research Article
ISSN: 1471-4175

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Article
Publication date: 2 October 2018

Dawn M. Russell and David Swanson

The purpose of this paper is to investigate the mediators that occupy the gap between information processing theory and supply chain agility. In today’s Mach speed…

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1182

Abstract

Purpose

The purpose of this paper is to investigate the mediators that occupy the gap between information processing theory and supply chain agility. In today’s Mach speed business environment, managers often install new technology and expect an agile supply chain when they press<Enter>. This study reveals the naivety of such an approach, which has allowed new technology to be governed by old processes.

Design/methodology/approach

This work takes a qualitative approach to the dynamic conditions surrounding information processing and its connection to supply chain agility through the assessment of 60 exemplar cases. The situational conditions that have created the divide between information processing and supply chain agility are studied.

Findings

The agility adaptation typology (AAT) defining three types of adaptations and their mediating constructs is presented. Type 1: information processing, is generally an exercise in synchronization that can be used to support assimilation. Type 2: demand sensing, is where companies are able to incorporate real-time data into everyday processes to better understand demand and move toward a real-time environment. Type 3: supply chain agility, requires fundamentally new thinking in the areas of transformation, mindset and culture.

Originality/value

This work describes the reality of today’s struggle to achieve supply chain agility, providing guidelines and testable propositions, and at the same time, avoids “ivory tower prescriptions,” which exclude the real world details from the research process (Meredith, 1993). By including the messy real world details, while difficult to understand and explain, the authors are able to make strides in the AAT toward theory that explains and guides the manager’s everyday reality with all of its messy real world details.

Details

The International Journal of Logistics Management, vol. 30 no. 1
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 2 July 2018

Roman Bartnik and Youngwon Park

Technologies change quickly in the automotive industry. This can provide opportunities to firms from emerging economies who try to enter the world stage of automotive…

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1083

Abstract

Purpose

Technologies change quickly in the automotive industry. This can provide opportunities to firms from emerging economies who try to enter the world stage of automotive production, provided they can react to this more nimbly than established competitors. How technological change affects the supply chain coordination of incumbents from developed economies and new entrants from emerging economies should strongly determine the speed of competitive reaction. By using the example of automotive transmission development, the purpose of this paper is to provide a conceptual model for the analysis and offer research propositions.

Design/methodology/approach

The authors build a conceptual model based on information processing theory and offer research propositions based on case study evidence of four automotive original equipment manufacturers (OEMs) and five suppliers.

Findings

The authors find symptoms of two larger trends: increasing specialization and technological linkages and a need to increase external supply chain integration beyond traditional structures. Comparing the effects on Japanese and German incumbents, the authors find that increasing external supply chain linkages proves to be harder for Japanese OEMs. Tight links and routines in the Japanese supply chain networks may harm OEM efficiency under the new technological conditions, e.g. the lack of complete part specifications and high demands for customization. Looking at effects on emerging market firms, Chinese OEMs use quasi-open modular production settings in transmission development and lean strongly on inputs from specialized foreign tier-one suppliers. Speed advantages must be weighed against long-term disadvantages of dependence and insufficient R&D investments.

Research limitations/implications

The study explores how technological change affects inter-firm development processes. The authors propose a framework and hypotheses based on information processing theory and link the findings to the discussion on the impact of national institutional context on supply chain coordination.

Practical implications

OEMs wanting to adapt complex existing internal structures to the changing demands for information processing should focus first on improving internal capacities by improving the amount and richness of information flow. Implementing new standards for simultaneous and standardized software development across the supply chain is a key point for this. A second step should be to boost the internal capacity to process higher richness of information, i.e. to understand the meta-knowledge necessary to integrate across technological areas in the development of electronic control units (ECUs).

Originality/value

The authors draw on original interview data in developed and emerging markets and information processing theory to explore the complexity of inter-firm coordination in automotive supply chains.

Details

Benchmarking: An International Journal, vol. 25 no. 5
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 2 February 2018

Sarah Zelt, Theresa Schmiedel and Jan vom Brocke

While researchers and practitioners agree on the importance to adapt business process management (BPM) practices to the nature of processes, the authors observe a lack of…

Abstract

Purpose

While researchers and practitioners agree on the importance to adapt business process management (BPM) practices to the nature of processes, the authors observe a lack of research on how to most meaningfully distinguish processes in order to apply context-specific BPM practices that increase process efficiency and effectiveness. The purpose of this paper is to systematically analyze the nature of processes as one contextual factor for BPM.

Design/methodology/approach

Based on a literature review, the authors systematically derive process dimensions that describe the nature of processes and apply an information-processing perspective to the process level as a theoretical lens through which to analyze and structure these process dimensions.

Findings

The authors identified 36 dimensions used to describe process differences that can be consolidated into five generic dimensions based on an information-processing perspective: interdependence of process participants, differentiation of process participants, process analyzability, variability, and importance.

Research limitations/implications

The paper derives process dimensions from the literature and links them to extant theories as a foundation for context-sensitive BPM. The findings serve as a basis for further conceptualizing BPM and for explaining seemingly contradicting findings about whether management practices increase or decrease organizational performance.

Practical implications

While the paper focuses on understanding and explaining process differences, the authors also demonstrate how these dimensions can be used to make strategic management decisions in order to increase the effectiveness and efficiency of processes.

Originality/value

The authors systematically conceptualize process differences as a foundation for contingent process management. In addition, the authors demonstrate that organizational processes provide a new field of application for information-processing theory.

Details

Business Process Management Journal, vol. 24 no. 1
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 25 January 2019

Shivam Gupta, Sameer Kumar, Shampy Kamboj, Bharat Bhushan and Zongwei Luo

This paper aims to examine the link between information systems (IS) agility, HR performance management systems and job satisfaction using organizational information

Abstract

Purpose

This paper aims to examine the link between information systems (IS) agility, HR performance management systems and job satisfaction using organizational information processing theory. The objective of this study answers the following questions: How does use of different IS agility impact HR systems and job satisfaction? What are the connecting pathways by which IS agility affects HR systems and job satisfaction?

Design/methodology/approach

The authors developed a theoretical framework based on the organizational information processing theory and collected primary data through an online-based questionnaire. Following these procedures, the authors analyzed the data using structural equation modeling (SEM).

Findings

SEM analysis of the data from 150 respondents supports the organizational information processing theory. The authors proposed eight hypotheses, and only one was rejected.

Research limitations/implications

The data were collected from South Africa only, which is an emerging economy, and these cross-sectional data were gathered from the perspectives of the respondents.

Originality/value

The present paper empirically tests the conceptual model through the lens of organizational information processing theory.

Details

Journal of Knowledge Management, vol. 23 no. 9
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 21 August 2020

Sebastian Jilke

Technological uncertainty and technological complexity are key characteristics of new product development (NPD) projects that impose significant information processing

Abstract

Purpose

Technological uncertainty and technological complexity are key characteristics of new product development (NPD) projects that impose significant information processing requirements on organizations. This paper examines the direct influence of technological uncertainty and technological complexity as well as the indirect influence of work experience on organizational information processing capabilities.

Design/methodology/approach

The author used a sample of 166 respondents from the German automotive industry and applied linear hierarchical regression analysis.

Findings

The results confirm a negative influence of technological uncertainty and technological complexity on organizational information processing capability. This research also supports a moderating influence of work experience on these relationships.

Originality/value

This research helps to understand the relationship between technological uncertainty, technological complexity and OIPC. It represents a first and different approach to measure these constructs for further empirical studies and provides interesting managerial implications.

Details

European Journal of Innovation Management, vol. 24 no. 5
Type: Research Article
ISSN: 1460-1060

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Article
Publication date: 1 July 2004

Gregory N. Stock and Mohan V. Tatikonda

This paper empirically examines the process of acquiring technology from a source, external to the firm, and incorporating it into a new product or operational process

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3044

Abstract

This paper empirically examines the process of acquiring technology from a source, external to the firm, and incorporating it into a new product or operational process under development. We refer to this key activity in product and process innovation as external technology integration. This paper develops a conceptual model of external technology integration based on organizational information processing theory and a wide range of technology management literature. Field interviews were conducted to evaluate the validity of the model across diverse settings. Our results indicate general support for the conceptual model. We close with a discussion of the implications of this study for both theory and practice.

Details

International Journal of Operations & Production Management, vol. 24 no. 7
Type: Research Article
ISSN: 0144-3577

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