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1 – 10 of over 1000Blockchain is a disruptive technology that has matured to deliver robust, global, IT systems, yet adoption lags predictions. The authors explore barriers to adoption in the…
Abstract
Purpose
Blockchain is a disruptive technology that has matured to deliver robust, global, IT systems, yet adoption lags predictions. The authors explore barriers to adoption in the context of a global challenge with multiple stakeholders: integration of carbon markets. Going beyond the dominant economic-rationalistic paradigm of information system (IS) innovation adoption, the authors reduce pro-innovation bias and broaden inter-organizational scope by using technological frames theory to capture the cognitive framing of the challenges perceived within the world’s largest carbon emitter: China.
Design/methodology/approach
Semi-structured interviews with 15 key experts representing three communities in China’s carbon markets: IT experts in carbon markets; carbon market experts with conceptual knowledge of blockchain and carbon market experts with practical blockchain experience.
Findings
Perceived technical challenges were found to be the least significant in explaining adoption. Significant challenges in five areas: social, political legal and policy (PLP), data, organizational and managerial (OM) and economic, with PLP and OM given most weight. Mapping to frames developed to encompass these challenges: nature of technology, strategic use of technology and technology readiness resolved frame incongruence that, in the case explored, did not lead to rejection of blockchain, but a decision to defer investment, increase the scope of analysis and delay the adoption decision.
Originality/value
Increases scope and resolution of IS adoption research. Technological frames theory moves from predominant economic-rational models to a social cognitive perspective. Broadens understanding of blockchain adoption in a context combining the world’s most carbon emissions with ownership of most blockchain patents, detailing socio-technical challenges and delivering practical guidance for policymakers and practitioners.
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Yung-Ching Tseng, Hua-Wei Hung and Bou-Wen Lin
This paper examines the framing of digital transformation. The research questions are specified as follows: what are the different types of framing strategies in response to…
Abstract
Purpose
This paper examines the framing of digital transformation. The research questions are specified as follows: what are the different types of framing strategies in response to digital transformation? How do the strategies differ across organizations? Theoretically, the authors draw on the framing perspective to emphasize the use of linguistic frames in shaping innovation and change processes. Empirically, the authors choose to study the Taiwanese sectors, including publicly governed entities, traditional private business or technology-based ventures.
Design/methodology/approach
The authors’ approach combines topic modeling and qualitative analysis. Using data collected from newspaper and magazine articles, the authors employ topic modeling to generate a set of distinctive framings that Taiwanese actors typically adopt to motivate and justify their digital move. The authors also conduct personal interviews to qualitatively complement the authors’ topic modeling analysis and to identify the rationale behind the linguistic framings and the strategic differences brought about by the various organizations.
Findings
The authors identify five topics that the Taiwanese actors commonly used in the framing of digital transformation. These topics or frames are labeled as cross-domain coordination, market demand, intelligent technology, global trend and competition and digital innovation. The practical use of the framings is contingent on organizational characteristics. Furthermore, the authors show how the framings can be classified as either positive framing (e.g. winning the next war) or negative framing (e.g. innovate or die), generally applicable to organizations around the world struggling to cope with digital disruption.
Research limitations/implications
The authors’ study has two research implications. First, the authors extend the appreciation of the digital transformation from the usual concern with technological and business model innovations to linguistic or framing practices. Second, the authors enrich the framing analysis by emphasizing a practice or contingency perspective based on sector difference. The findings are subject to the limitations of the choice of only established and reputable media outlets, the diatextual reading and filtering of useful articles for topic modeling analysis and the use of world frequency to account for frame significance.
Practical implications
The authors shift actors' attention from improving technical efficiency to acquiring linguistic resources in the pursuit of digitalization. For example, framing the digital transformation in terms of creating a market orientation calls for not only real consumer power but also strategic discursive competence that enables the move to change. The findings also point out that practitioners can enlarge the scope of their agency rather than being trapped in the habituated routine of practices. Despite social embeddedness, organizations are more often widely connected and built enough to call for more of the cognitive frames to appeal to heterogeneous stakeholders.
Originality/value
The authors study contributes to the literature by developing a linguistic or socio-cognitive view of digital transformation strategy that is capable of expanding organizational attention toward change and innovation. The authors explore menus of strategic frames employed by actors in response to digital transformation. We also address the application of a machine-learning tool such as topic modeling to explore the socio-cognitive dimensions of digital transformation. Furthermore, the analysis leads us to identify the outcomes or effects – either positive or negative – that move beyond the particular Taiwanese case to explain the framing of digital transformation in general.
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Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined…
Abstract
Purpose
Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined in prior studies, but current research has not gone far enough in examining how AI is framed on social media. This paper aims to fill this gap by examining how people frame the futures of work and intelligent machines when they post on social media.
Design/methodology/approach
We investigate public interpretations, assumptions and expectations, referring to framing expressed in social media conversations. We also coded the emotions and attitudes expressed in the text data. A corpus consisting of 998 unique Reddit post titles and their corresponding 16,611 comments was analyzed using computer-aided textual analysis comprising a BERTopic model and two BERT text classification models, one for emotion and the other for sentiment analysis, supported by human judgment.
Findings
Different interpretations, assumptions and expectations were found in the conversations. Three subframes were analyzed in detail under the overarching frame of the New World of Work: (1) general impacts of intelligent machines on society, (2) undertaking of tasks (augmentation and substitution) and (3) loss of jobs. The general attitude observed in conversations was slightly positive, and the most common emotion category was curiosity.
Originality/value
Findings from this research can uncover public needs and expectations regarding the future of work with intelligent machines. The findings may also help shape research directions about futures of work. Furthermore, firms, organizations or industries may employ framing methods to analyze customers’ or workers’ responses or even influence the responses. Another contribution of this work is the application of framing theory to interpreting how people conceptualize the future of work with intelligent machines.
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Aditi Saha, Rakesh Raut and Mukesh Kumar
The purpose of this paper is to identify the challenges surrounding the implementation of digital technology (DT) agri-food supply chain (AFSC) and explore how these challenges…
Abstract
Purpose
The purpose of this paper is to identify the challenges surrounding the implementation of digital technology (DT) agri-food supply chain (AFSC) and explore how these challenges relate to the various sustainability dimensions. Additionally, it aims to assess how these challenges are interconnected in relation to achieving sustainable development goals (SDGs).
Design/methodology/approach
The study employs a mixed-method approach utilizing the EFA-ISM-Fuzzy DEMATEL technique. To support and validate the findings, exploratory factor analysis (EFA) categorized 12 critical challenges in sustainable dimensions from 141 participants' responses. Furthermore, interpretive structural modeling (ISM) and decision-making trial and evaluation (DEMATEL) methods were used to obtain the interrelationship and hierarchical structure of the challenges.
Findings
The study identified 12 critical challenges while adopting DT in AFSC. These challenges were categorized into four sustainable dimensions: technological, economic, environmental and social. These challenges hinder the achievement of SDGs as well. Lack of regulatory and policy framework with security and privacy issues were the key challenges faced while adopting DT. These observations emphasize the necessity for government and policymakers to prioritize tackling the identified challenges to successfully endorse and execute DT initiatives in AFSC while also fulfilling the SDGs.
Research limitations/implications
The implication underscores the need for collaboration among various stakeholders, such as governments, policymakers, businesses and researchers. By collectively addressing these challenges, DT can be leveraged optimally, fostering sustainable practices and making progress toward achieving the SDGs within the AFSC.
Originality/value
The study uses a combination technique of EFA and ISM-DEMATEL to identify the challenges faced in Indian AFSC while adopting DT and categorizes the interrelation between the challenges along with fulfilling the SDGs.
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The paper provides a detailed historical account of Douglass C. North's early intellectual contributions and analytical developments in pursuing a Grand Theory for why some…
Abstract
Purpose
The paper provides a detailed historical account of Douglass C. North's early intellectual contributions and analytical developments in pursuing a Grand Theory for why some countries are rich and others poor.
Design/methodology/approach
The author approaches the discussion using a theoretical and historical reconstruction based on published and unpublished materials.
Findings
The systematic, continuous and profound attempt to answer the Smithian social coordination problem shaped North's journey from being a young serious Marxist to becoming one of the founders of New Institutional Economics. In the process, he was converted in the early 1950s into a rigid neoclassical economist, being one of the leaders in promoting New Economic History. The success of the cliometric revolution exposed the frailties of the movement itself, namely, the limitations of neoclassical economic theory to explain economic growth and social change. Incorporating transaction costs, the institutional framework in which property rights and contracts are measured, defined and enforced assumes a prominent role in explaining economic performance.
Originality/value
In the early 1970s, North adopted a naive theory of institutions and property rights still grounded in neoclassical assumptions. Institutional and organizational analysis is modeled as a social maximizing efficient equilibrium outcome. However, the increasing tension between the neoclassical theoretical apparatus and its failure to account for contrasting political and institutional structures, diverging economic paths and social change propelled the modification of its assumptions and progressive conceptual innovation. In the later 1970s and early 1980s, North abandoned the efficiency view and gradually became more critical of the objective rationality postulate. In this intellectual movement, North's avant-garde research program contributed significantly to the creation of New Institutional Economics.
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Manoj Krishnan and Satish Krishnan
The study aims to drive conceptual clarity around resistance to information technology projects, integrating multiple facets of the phenomenon from earlier studies.
Abstract
Purpose
The study aims to drive conceptual clarity around resistance to information technology projects, integrating multiple facets of the phenomenon from earlier studies.
Design/methodology/approach
The study conducts a meta-synthesis of qualitative studies on resistance to technology projects; it analyzes those studies at a case-specific level, compares and contrasts emergent concepts against each other, and “translates” those to the rest of the studies. The study uses the seven-step meta-ethnography method by Noblit and Hare to reciprocally translate emergent concepts to construct the conceptual model.
Findings
Through meta-synthesis, the study derives a new conceptual model for resistance to information technology projects, exemplifying how the identified antecedents create user resistance and how the phenomenon progresses within organizations.
Research limitations/implications
This study enriches the observations and conclusions of past individual studies while explicating various facets of the mechanisms that generate and progress technology resistance within organizations. It offers fresh insights into the equivocal nature of the phenomenon and the distinctive ways it progresses from individual to group level.
Practical implications
Many ambitious and costly digital transformation efforts do not succeed due to user resistance. Understanding the mechanisms that create user resistance can help organizations manage technology projects better, thereby reducing the technology assimilation gap and protecting returns on related investments.
Originality/value
There have been extensive studies on technology acceptance (enablers) within organizations, while those relating to technology inhibitors are somewhat limited. However, the symmetry of understanding between enablers and inhibitors is vital for organizations to assimilate promising technologies and transform their business models. This model uses a new lens of sensemaking theory to explain how the antecedents trigger perceived threats and resistance behavior; it highlights the nuances around the development of resistance within individuals and its progression to groups. The resultant model offers better generalizability in organizational contexts.
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Hüseyin Emre Ilgın, Markku Karjalainen and Sofie Pelsmakers
The paper aims to understand Finnish architects' attitudes towards the use of timber as a structural material in multi-storey (over two--storeys high) residential construction.
Abstract
Purpose
The paper aims to understand Finnish architects' attitudes towards the use of timber as a structural material in multi-storey (over two--storeys high) residential construction.
Design/methodology/approach
The study was conducted through a literature survey mainly including international peer-reviewed journals and similar research projects. Furthermore, the literature survey informed the generation of the web-based survey questionnaire design to gather information on architects' perceptions, attitudes and interest in the use of wood in multi-storey (over two-storeys high) residential buildings.
Findings
The paper's findings are as follows: (1) respondents perceived the most important advantages of wood as a lightweight, local and ecological material; (2) wood construction (compared to concrete) included perceived concerns about it being more costly and needing more complex engineering and (3) respondents had a favourable overall attitude towards the use of wood particularly in low-rise residential construction, whilst their perception of tall housing, including timber ones, was mostly negative.
Originality/value
No studies have evaluated the use of wood in tall residential buildings and architects' perceptions in Finland.
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Digital technologies (DTs) are key and essential in firms and communities. Countries in low-income areas, such as Bottom of the Pyramid (BOP) contexts, struggle with digital…
Abstract
Purpose
Digital technologies (DTs) are key and essential in firms and communities. Countries in low-income areas, such as Bottom of the Pyramid (BOP) contexts, struggle with digital development. To understand how firms in BOP countries access DTs, a qualitative study was conducted to provide insight into how firms in these contexts access DTs and the challenges they face while accessing these technologies.
Design/methodology/approach
An in-depth qualitative study was done, which included semi-structured interviews with digital enterprises. In total, 12 chief executive officers (CEOs) and owners of small and medium-sized businesses (SMEs) from Ghana and Nigeria were interviewed. NVivo 12 Pro was used for thematic analysis.
Findings
Four main findings were identified as follows: (1) how firms in BOP contexts access DTs, (2) the challenges in accessing DTs, (3) factors considered when selecting a technological provider in BOP contexts and (4) solutions and recommendations to the challenges identified. From the results, cost, low technological infrastructure, high transaction costs, regulatory issues, lack of trust, poor digital skills and lack of support were among the barriers to accessing DTs in BOP contexts.
Research limitations/implications
Governments and stakeholders of firms in BOP contexts need to be intentional with their digitalization development to ensure digital inclusion.
Originality/value
The study developed a synopsis of the factors involved in accessing DTs in BOP contexts and is the first to conceptualize firm digital access in BOP contexts.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2023-0213
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Dongyuan Zhao, Zhongjun Tang and Duokui He
With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many…
Abstract
Purpose
With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.
Design/methodology/approach
The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.
Findings
The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.
Originality/value
The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.
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Sabine Khalil, Andreas Kallmuenzer and Sascha Kraus
Augmented reality (AR) is an emergent technology that has been impacting and beneficial to various industries. This is especially the case in the tourism industry since the…
Abstract
Purpose
Augmented reality (AR) is an emergent technology that has been impacting and beneficial to various industries. This is especially the case in the tourism industry since the COVID-19 crisis. To enable and enhance the museum experience, AR technology can be used as a tool to manage visitors' experiences and adapt to the digital transformation of industries. This research work aims to explore the acceptance of museum visitors for the adoption of this technology. For this purpose, the technology acceptance model (TAM) is used as the research lens.
Design/methodology/approach
The authors collected 316 responses from a survey handed out to prior visitors of immersive exhibitions shown via AR at the Atelier des Lumières in Paris and analyzed them through a structural equation model approach.
Findings
The study’s findings explain the behavior of visitors when attending immersive exhibitions according to the TAM and highlight two new constructs that need to be considered when using the TAM with AR technology: user satisfaction and social mimetism.
Originality/value
The study’s findings support that implementing AR technology in the museum industry provides great opportunities for the tourism industry to recover from the economic crisis that followed from the COVID-19 health crisis. The authors identified new thriving concepts in the 21st century with the rise of social media, such as social mimetism, that propels visitors to have a positive attitude and intention to attend immersive exhibitions.
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