Heping Liu, Yanli Chen, Fred L. Strickland, Ran Dai and Bing Qi
The purpose of this paper is to develop an application software interpolation system based on Taylor Kriging (TK) metamodeling, and apply the developed software system to…
Abstract
Purpose
The purpose of this paper is to develop an application software interpolation system based on Taylor Kriging (TK) metamodeling, and apply the developed software system to addressing some engineering interpolation problems.
Design/methodology/approach
TK is a novel Kriging model where Taylor expansion is used to identify the base functions of drift function in Kriging. The paper explains the methodology of TK, illustrates the development of software, and reports the results of two case studies by comparing TK with several regression methods.
Findings
TK has the advantage of interpolation accuracy, and the developed Kriging software system is useful and can be conveniently manipulated by users.
Practical implications
The developed software system can benefit practical engineering applications that need accurate interpolations under limited observations.
Originality/value
This paper develops an application software interpolation system based on a novel TK metamodel, and the practical engineering applications show that it can provide accurate interpolations under limited observations.
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This study provides an integrative model that facilitates green product innovation (GPI) by adopting dynamic capabilities theory and the motivation-opportunity-ability (MOA…
Abstract
Purpose
This study provides an integrative model that facilitates green product innovation (GPI) by adopting dynamic capabilities theory and the motivation-opportunity-ability (MOA) framework. Drawing on dynamic capabilities theory, this study emphasizes green supply chain integration (GSCI), consisting of internal and external integration, as a dynamic capability that drives GPI. Moreover, this study analyzes the environmental conditions that benefit the development of dynamic capabilities using the MOA framework and focuses specifically on government support (GS) and market greenness (MG) as precursors to GSCI.
Design/methodology/approach
Survey data were collected from 300 Chinese manufacturing firms. The proposed hypotheses were tested using hierarchical multiple regression analysis.
Findings
The regression analysis reveals that (1) GS and MG positively affect both internal and external integration and (2) internal and external integration positively affect GPI.
Originality/value
In explicating a model of GPI, this study extends the theoretical lens of dynamic capabilities beyond the intraorganizational level to the supply chain level. Moreover, this study enhances the understanding of dynamic capability development by considering the environmental conditions that represent motivation- and opportunity-based drivers of GSCI.
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Wajde Baiod, Janet Light and Mostaq M. Hussain
As it is known, the accounting information system (AIS) plays a significant role in the business ecosystem by recording and processing financial and accounting data and reporting…
Abstract
As it is known, the accounting information system (AIS) plays a significant role in the business ecosystem by recording and processing financial and accounting data and reporting the produced information to all relevant parties for decision-making. However, its used methods and systems, including double-entry bookkeeping and enterprise resource planning (ERP) systems, have limitations, especially in terms of trust and reliability concerns for stakeholders and the possible scope for records manipulation and fraud. The application of blockchain technology is believed to enhance the reliability of the AIS and addresses many of its current limitations. Blockchain can offer numerous benefits if used to manage AIS functions through enhanced trust, reliability, and transparency, increased efficiency, reduced costs and fraud, improved accounting information quality and real-time accounting. Nevertheless, the adoption and implementation of blockchain in the AIS are associated with several technical and nontechnical challenges which are not easy to address and could limit the wide technology adoption in the immediate future. Considering that a full understanding of the benefits and challenges of adopting blockchain in the AIS still needs more clarification, this chapter examines blockchain technology and its implications for the AIS. It reviews blockchain characteristics and its benefits to the AIS, discusses its possible integration into the AIS, outlines adoption and implementation challenges, and suggests critical avenues for future research.
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Abstract
Purpose
Digital innovation requires organizations to reconfigure their information technology infrastructure (ITI) to cultivate creativity and implement fast experimentation. This research inquiries into ITI generativity, an emerging concept demoting a critical ITI capability for organizational digital innovation. More specifically, it conceptualizes ITI generativity across two dimensions—namely, systems and applications infrastructure (SAI) generativity and data analytics infrastructure (DAI) generativity—and examines their respective social and technical antecedents and their impact on digital innovation.
Design/methodology/approach
This research formulates a theoretical model to investigate the social and technical antecedents along with innovation outcomes of ITI generativity. To test this model and its associated hypotheses, a survey was administered to IT professionals possessing knowledge of their organization's IT architecture and digital innovation performance. The dataset, comprising responses from 140 organizations, was analyzed using the partial least squares technique.
Findings
Results reveal that both dimensions of ITI generativity contribute to digital innovation performance, with the effect of DAI generativity being more pronounced. In addition, SAI and DAI generativities are driven by social and technical factors within an organization. More specifically, SAI generativity is positively associated with the usage of a digital application services platform and IT human resources, whereas DAI generativity is positively linked to the usage of a data analytics services platform, data analytics services usability and data analytics human resources.
Originality/value
This research contributes to the literature on digital innovation by introducing ITI generativity as a crucial ITI capability and deciphering its role in digital innovation. It also offers useful insights and guidance for practitioners on how to build ITIs to achieve better digital innovation performance.
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Pan Hao, Yuchao Dun, Jiyun Gong, Shenghui Li, Xuhui Zhao, Yuming Tang and Yu Zuo
Organic coatings are widely used for protecting metal equipment and structures from corrosion. Accurate detection and evaluation of the protective performance and service life of…
Abstract
Purpose
Organic coatings are widely used for protecting metal equipment and structures from corrosion. Accurate detection and evaluation of the protective performance and service life of coatings are of great importance. This paper aims to review the research progress on performance evaluation and lifetime prediction of organic coatings.
Design/methodology/approach
First, the failure forms and aging testing methods of organic coatings are briefly introduced. Then, the technical status and the progress in the detection and evaluation of coating protective performance and the prediction of service life are mainly reviewed.
Findings
There are some key challenges and difficulties in this field, which are described in the end.
Originality/value
The progress is summarized from a variety of technical perspectives. Performance evaluation and lifetime prediction include both single-parameter and multi-parameter methods.
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Yuqing Xu, Guang-Ling Song and Dajiang Zheng
This study aims to provide a model to predict the service life of a thick organic coating.
Abstract
Purpose
This study aims to provide a model to predict the service life of a thick organic coating.
Design/methodology/approach
A series of thin coating films are rapidly tested under the same exposure condition as the thick coating in its service condition by means of electrochemical impedance spectroscopy, scanning electron microscopy, energy dispersive spectroscopy and X-ray diffraction.
Findings
The validity of the model is successfully verified. The long-term protectiveness or service life of a thick organic coating can be rapidly predicted.
Originality/value
The prediction model does not require long-term experiments or any test that may alter the degradation mechanism of the thick coating.
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Jun Jin, Shijing Li, Zan Chen and Liying Wang
Although scholars in strategic management have identified innovating and exit as firms’ two sequential strategic responses to long-run crisis, the potential interdependency has…
Abstract
Purpose
Although scholars in strategic management have identified innovating and exit as firms’ two sequential strategic responses to long-run crisis, the potential interdependency has yet remained implicit. Specifically, in the context of Chinese Privately Owned Enterprises (POEs), this study investigates the interrelationship of these two strategic responses during long-run crisis. Building on resource redeployment perspective, the authors propose that firms tend to simultaneously leverage innovating and exit responses.
Design/methodology/approach
The authors use the data from the 2010 Chinese POEs survey to verify how firms in the long-term crisis made strategic responses after the 2008 financial crisis. Besides, the authors utilize Probit regressions as the basic analysis and further employ bivariate Probit regressions to conduct robustness tests.
Findings
This study provides empirical evidence confirming that firms in the long-run period of the crisis tend to adopt both exit and innovating strategies at the same time, that is, the strategy of resource redeployment. Moreover, this study further finds that government subsidies, the degree of marketization and firm’s organizational capability could all accentuate the decision-making of firms’ resource redeployment.
Originality/value
The authors thus contribute to the study of strategic responses to crisis in strategic management by dynamically find out the interdependency of two responses and enrich the research on resource redeployment perspective by identifying three influential positive antecedents, adding to the ongoing investigation on positive drivers of resource redeployment.
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Srinivas Rao Pingali and Jyothi Rani Korem
The learning outcomes are as follows: to understand the management styles and motivations of SME founders; to understand how SMEs innovate with limited resources; to develop and…
Abstract
Learning outcomes
The learning outcomes are as follows: to understand the management styles and motivations of SME founders; to understand how SMEs innovate with limited resources; to develop and evaluate technology and platform options to solve operational and business model issues; to build a transforming strategy by leveraging technology; and to understand the agricultural industry and its significance to emerging economies.
Case overview/synopsis
The case is about a Small and Medium Enterprise in India that focussed on the agricultural sector. The company was owner operated and highly successful. As a result, the owner decided to maintain status quo till the COVID-19 crisis forced the company to relook at its strategy and innovate for the second time in its history.
Complexity academic level
MBA.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 11: Strategy.
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I survey applications of Markov switching models to the asset pricing and portfolio choice literatures. In particular, I discuss the potential that Markov switching models have to…
Abstract
I survey applications of Markov switching models to the asset pricing and portfolio choice literatures. In particular, I discuss the potential that Markov switching models have to fit financial time series and at the same time provide powerful tools to test hypotheses formulated in the light of financial theories, and to generate positive economic value, as measured by risk-adjusted performances, in dynamic asset allocation applications. The chapter also reviews the role of Markov switching dynamics in modern asset pricing models in which the no-arbitrage principle is used to characterize the properties of the fundamental pricing measure in the presence of regimes.