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A blockchain (BC) is a breakthrough technological invention that comprises entirely different mental models than conventional technology. This fundamental difference can potentially change the systems of many organizations since the current systems are built upon a centralized paradigm. The adoption of BC brings various benefits to an organization which can initiate changes to a business model (BM). However, the contribution of BC for business model innovation (BMI) is challenging to identify. Therefore, this study aims to understand and describe the adoption of BC for developing BMI.

This study presents a model that describes the adoption of BC for developing BMI. To justify the model, this study used an empirical approach based on multiple case study through a rigorous process. The case study selection process referred to the products or services that adopt BC to deliver to their customers and monetize their businesses, which resulted in six cases in different areas. Meanwhile, the data collection applied semi-structured interviews and adequate secondary data. The data/information was analyzed using a value proposition, creation, and capture framework.

The findings identify the adoption of BC in BMIs generated through value creation as a new technological sub-element. This technological adoption evidently affects value proposition and value capture in a different mode. Furthermore, through the model, this study classifies the adoption of BC in BMI based on two dimensions: (1) the level of complexity of BC adoption and (2) the intensity of BMI. The findings show that the cases in this study are dispersed among all quadrants of the conceptual model.

This study can serve as an antecedent for stakeholders in the innovation of BC-based BMs and their implementation patterns. Simultaneously, this study sheds light on the body of knowledge about BC adoption for developing BMI through a validated model from selected cases and technical experts. This study also describes the BC-based activity systems that provide the contributions and benefits from the technology.

Blockchain technology has encouraged more transparent transactions process through decentralized protocols and has identified multi-dimensional benefits. However, value innovation–based blockchain for the particular industry requires further elaboration since there appears to be a vague understanding. Therefore, this study aims to provide a profound perspective of value innovation based blockchain, which has the potential to be applied in the halal industry.

This study developed a typology model that describes a profound understanding of blockchain adoption for value innovation. Empirical research was conducted using multiple case studies to justify the model. The case selection in this study was based on the halal industry in Indonesia. This study employed few sources to derive sufficient data through in-depth interviews, direct observations, and archival records. In particular, this study drew upon specific theories to elaborate on the blockchain-enable value innovation.

A blockchain is identified as having the opportunity to promote value innovation in the halal industry through its features. This study defines a typology model of value innovation-based blockchain for the halal industry that takes place on a particular spectrum. The model built in this study classifies blockchain adoption for the halal industry from specific dimensions: the degree of blockchain-based system complexity and the intensity of value innovation. Then, this study finds that these cases have different classifications and are evenly distributed in the quadrants of the model.

The typology model in this study can be a reference for decision-making when considering blockchain to leverage a value innovation in particular systems. Although blockchain technology can potentially be applied in vast areas, the decision-makers should understand that technology adoption should provide distinct values to its stakeholders, notably in multi-dimensional areas such as the halal industry. Thus, this study contributes significantly to blockchain technology usage for the halal industry.

The purpose of this paper is to characterise opportunity cost associated with the development of spectrum.

Differential Ricardian rent theory is used in the paper to explain the relationship between the development of spectrum along internal and external margins. Opportunity cost is introduced to characterise the link between spectrum and spectrum substitutes.

The study finds that workable strategies for spectrum reform require that economic externalities be internalised. Opportunity cost considerations can serve to improve spectrum management policy by justifying policy constraints and distribute the spectrum to the user with the best relative use.

Ricardian rent theory assumes that the “best” spectrum would be utilised first. In addition, there is no objective value‐based unit of spectrum and this limits the efficacy of Ricardo's theory.

The paper provides a more coherent explanation spectrum development and the spectrum management reform process.

The study provides a model for policy makers to introduce incremental change in the advent of novel wireless technologies

Presents the details of a Quality Management Implementation Grid derived from the TQM Adoption Model of Dale and Lascelles (1997). The Grid, which has been developed to fit within an A4 boundary, should be used by Directors and Managers of organizations and business units to diagnose the stage of development of their continuous improvement process against each of seven defined levels of TQM the Grid: root causes of problems, issues being faced, typical organizational behaviours and effective transitional action. The idea is that a manager can consider the details of the problems, issues and behaviour with respect to their business and decide the actions to be taken to move the improvement process forward.

The purpose of this paper is to explore the approaches to education and training adopted by manufacturing organisations to identify and develop a set of learning principles for the successful transition to Industry 4.0.

A case study of a manufacturing ecosystem in Queensland, Australia was undertaken, that included semi-structured interviews with a total sample of 22 manufacturing industry representatives, an analysis of secondary data including organisational documents and government reports, and embedded cases of two manufacturing organisations.

Manufacturers successfully transitioning to Industry 4.0 are distinguished by a culture which values learning, management development to understand and lead innovation, experimental learning on the job and strong links to education and training providers through internships and upskilling pathways. These four principles inform approaches to creating tailored training solutions that respond to the unique needs of diverse manufacturing organisations.

The two case studies describe exemplary high performing companies only and not companies at earlier stages of adopting Industry 4.0. Therefore, future research could include a broader spectrum of companies across the adoption spectrum. Nevertheless, considered as a study of a total manufacturing ecosystem, there is strong alignment of views of government, industry, union and education stakeholders regarding the key factors of transition to Industry 4.0.

There is a strong need for leaders of manufacturing organisations to enable a broad strategy of capability development beyond simple acquisition of new technologies. Detailed consideration and resourcing of on-the-job training and experimentation, talent attraction through innovation workplace cultures and strong relationships with education providers are important.

Given that Industry 4.0 technologies such as robotics and AI are now rapidly diffusing into other industry sectors, the research has broader implications for education and training for the future of work. These technologies could produce stark differences between efficiency versus innovation-oriented adoption strategies. Whilst the former could displace workers, the latter can open pathways for upskilling, product and process innovation and cross sector employment.

Through the ecosystem level case approach, multiple stakeholder perspectives provide triangulated insights into advanced manufacturer's education, skills and training strategies, uncovering four learning principles that underpin the approach of manufacturers successfully transitioning to Industry 4.0. The findings have practical implications for policy makers and industry bodies supporting the transition to advanced manufacturing and provide manufacturing managers with insights into successful education and skill strategies that can be adapted to specific organisational needs.

This paper investigated the organizational adoption of big data analytics (BDA) in the context of supply chain planning (SCP) to conceptualize how resources are orchestrated for organizational BDA adoption and to elucidate how resources and capabilities intervene with the resource management process during BDA adoption.

This research elaborated on the resource orchestration theory and technology innovation adoption literature to shed light on BDA adoption with multiple case studies.

A framework for the resource orchestration process in BDA adoption is presented. The authors associated the development and deployment of relevant individual, technological and organizational resources and capabilities with the phases of organizational BDA adoption and implementation. The authors highlighted that organizational BDA adoption can be initiated before consolidating the full resource portfolio. Resource acquisition, capability development and internalization of competences can take place alongside BDA adoption through structured processes and governance mechanisms.

A relevant discussion identifying the capability gap and provides insight into potential paths of organizational BDA adoption is presented.

The authors call for attention from policymakers and academics to reflect on the changes in the expected capabilities of supply chain planners to facilitate industry-wide BDA transition.

This study opens the black box of organizational BDA adoption by emphasizing and scrutinizing the role of resource management actions.

This paper aims to study the antecedents of Internet of Things (IoT) adoption among farmers and determine how trust in the technology influences its adoption when mediated by perceived value and risk. Through the conceptualization of trust and perceived risk, the authors factor in farmers’ perceptions of agricultural technology providers and discuss different forms of perceived value, spanning economic, green and epistemic value.

This paper develops a distinctive research design, drawing on elements of the value-based adoption and technology acceptance models. By linking different elements of perceived value with IoT technology, the authors also apply the service-dominant logic to this study. They study how trust affects perceived value and risk and then determine how perceived value and risk, in turn, affect IoT adoption. The authors test the hypotheses by developing a structural equation model to analyze the results of a survey, wherein 492 farmers from Iowa, the USA, participated.

The results show a positive relationship between trust and perceived value and a negative relationship between trust and perceived risk. Perceived value had a positive impact on IoT adoption, whereas perceived risk had a negative impact on IoT adoption.

The research findings on trust and perceived value and risk are timely and relevant for business-to-business (B2B) marketing practitioners and agricultural stakeholders, especially in an era where farmers are expressing growing concerns about data handling risk posed by IoT technology adoption.

The research findings signal a transition in focus from the goods-dominant logic to the service-dominant logic in agriculture, whereby farmers are drawn to IoT technology because of perceived economic, green and epistemic value and as a result, can differentiate themselves on how well they deploy operant resources. This paper not only provides a unique conceptualization of perceived value but also pave the way for a richer conceptualization of IoT core functions that enable farmers to fulfill green and epistemic goals. This is the first B2B marketing paper discussing the antecedents of IoT adoption in agriculture, such as farmers’ perceptions of both monetary and non-monetary forms of value and perceived data handling risk.

Adoption literature now speaks with many voices. Federal and state agencies and local advocacy groups are enthusiastic supporters of adoptions, the basic belief being kids need homes. The bottleneck is the most conservative sector, the local agency. These are the agencies one deals with if planning to adopt a child. This brief essay attempts to give some perspective to the recent literature on adoption trends and practices. The numbers in parentheses refer to the entry numbers of titles in the bibliographic listing at the end of the article.

THERE ARE TWO USEFUL WAYS OF PRESENTING THE IDEA OF different levels of participation. One of these involves the adoption of a spectrum which stretches from no participation at one end to full joint decision‐making at the other, with intermediate stages between. The other is the concept of positive and negative participation. The two ways of looking at it are complementary.

Building information modelling (BIM) and augmented reality (AR) are unique technologies in the digitalized construction industry. In spite of the numerous benefits of BIM-AR, its adoption has been at a relatively slow pace. The purpose of this study is to investigate how the factors within technology–organization–environment (TOE) framework influence the adoption of BIM-AR in the context of construction companies in a developing country.

By using a mainly deductive quantitative design, survey data were collected from senior management of built environment companies in Ghana using questionnaires. The study adopted a mixture of both purposive and snowball sampling approaches. Partial least squares structural equation modelling was used to analyse how the factors within the TOE framework explain BIM-AR adoption in Ghana.

Findings from the study show that the top three factors within the TOE framework that facilitate the adoption of BIM-AR include ICT infrastructure within construction firms; the size of the construction firm, which may influence the financial capacity to accommodate BIM-AR; and competitive pressure. The inhibitors of BIM-AR at the company level included external support and trading partners’ readiness.

Implicit is that the significant factors will be useful to policymakers and companies in developing programs that appeal to non-adopters to aid in mitigating their challenges and further enhance BIM-AR adoption.

The value of this paper has been the use of the theoretical framework TOE to explain the adoption factors of BIM-AR in the Ghanaian construction industry. The originality of the paper is further anchored in consideration of BIM-AR, which is quite nascent in emerging countries.