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The purpose of this paper is to challenge the existing paradigm of resistance to organizational change by offering a novel, interdisciplinary perspective. More specifically, this paper seeks to detach from traditional formulations of resistance to change and introduce a new paradigm, reevaluating resistance through the Good Lives Model (GLM) and the concept of Primary Human Goods (PHG).

This conceptual paper uses contemporary literature on resistance to organizational change to make the case that the existing paradigm is one of negativity and deficiency. The authors define resistance, as currently formulated, subsequently offering a new perspective through the GLM. The etiological underpinnings of the model are provided and the concept of PHG is defined to illustrate relevance in reevaluating resistance to change.

The paper illustrates that resistance behaviors are not individual problems of employees, which must be overcome for successful change. Rather, resistance behaviors are the manifestation of disruptions to the achievement of PHG. Moreover, the paper demonstrates the pursuit of PHG is an innately positive, human activity that change strategies should take into account. The Dialogic Organization Development approach is also integrated as a means to uncover priority goods and disruptions that may impact them.

The paper provides a novel reevaluation of resistance to change through the interdisciplinary application of the GLM and PHG. Further, the paper uses the model to integrate several fundamental theories of human motivation into one cohesive, consistent framework.

Demonstrate proof-of-concept for conducting NFL Draft trades on a blockchain network using smart contracts.

Using Ethereum smart contracts, the authors model several types of draft trades between teams. An example scenario is used to demonstrate contract interaction and draft results.

The authors show the feasibility of conducting draft-day trades using smart contracts. The entire negotiation process, including side deals, can be conducted digitally.

Further work is required to incorporate the full-scale depth required to integrate the draft trading process into a decentralized user platform and experience.

Cutting time for the trade negotiation process buys decision time for team decision-makers. Gains are also made with accuracy and cost.

Full-scale adoption may find resistance due to the level of fan involvement; the draft has evolved into an interactive experience for both fans and teams.

This research demonstrates the new application of smart contracts in the inter-section of sports management and blockchain technology.

MR. SNOWDEN'S economy speech last month has had its effect on local authorities generally and will not be without reactions upon libraries. We have already heard of several instances where a raid has been made upon public library estimates, in one or two cases quite drastic ones. The danger is that the generally economical past working of libraries will be ignored and retrenchments be made which do real injury. At a time such as this the enemies of libraries—there are still a few of them—become righteously articulate in the interests of what they call economy, which is generally to cut down the other fellow's expenditure.

Popular self-help pregnancy literature suggests a “generational disconnect” between pregnant women and their mothers, emphasizing the incommensurate experiences of the two generations. Based on longitudinal, in-depth interviews with a diverse group of 64 pregnant women and 23 grandmothers-to-be, this chapter explores how different generations of women negotiate the idea of a disconnect and its implications for the medicalization of pregnancy. My findings showed limited support for the generational disconnect. Nearly all of the pregnant women I interviewed who were in contact with their mothers consulted them to assess issues related to pregnancy embodiment. Black and Latina women and white women with less than a college degree disregarded or even rejected the disconnect; they tended to frame their mothers’ advice as relevant. Their mothers attended prenatal care appointments and frequently expressed skepticism about medical directives. By contrast, I found that highly educated white women tended to endorse the generational disconnect when it came to matters related to pregnancy health behaviors – what to eat, how much to exercise – and their obstetric care. The mothers of these women not only largely supported the generational disconnect, but also bonded with their daughter over a shared appreciation for scientific understandings of pregnancy. Foregrounding women’s perspectives provides insights into meaning-making in pregnancy and the ways that mothers of pregnant women can both stymie and deepen medicalization of childbearing.

Big data are indispensable in scientific endeavours ranging from nuclear research to climate studies. However, there is a growing misperception that congeries of data can be easily reconstructed into competitive business insights. Such notions have been encouraged by a plethora of mainstream techno-utopian forecasts.

This paper investigated such claims and related big data developments, including its “systems-first” and oligopolistic orientations. Due to the paucity of current scholarship on an admittedly pessimistic topic, the paper studied contrarian developments in the industry by relying on secondary data. The study of experts and scholars; industrial trends; and discrepancies and critical gaps in the mainstream data narrative were sourced to prognosticate the likely trajectory of many data giants.

A key finding was that the big data industry faces an untenable market bubble worth trillions of dollars. This will have severe consequences for common digital access and social stability worldwide. Evidence presented also suggests that the data industrial complex may undergo a function creep by facilitating a transition from surveillance capitalism to surveillance society.

Primary data for a study of this nature may take years to materialize. This is a “first-pass” study that seeks to illuminate latent dangers facing the big data/AI sector. There is a paucity of scholarly study that even remotely touches on this topic. Therefore, supporting arguments was sourced from contemporary reports and expert study (secondary data).

As control of data may have geostrategic implications, balkanization of the wired ecosystem may be underway with Russia and China leading the way. Future superpowers may be defined by the way they handle data. The concentration of data in fewer hands may also affect citizen innovation.

A break-down of the data industrial complex may lead to social mayhem as the monetization of presently free software, blogs and social media platforms may be unfeasible.

This topic has hardly been explored due to the novelty of big data, its applications and the daily hype over its potentials. This paper boldly describes dark countercurrents in the industry.

The purpose of this paper is to present a critical review of research in information and equipment technology adoption in the construction industry. The study also aims to formulate a conceptual framework of the different stages in the adoption process identify gaps in the existing literature and to provide a holistic picture of contemporary research in technology adoption in construction research literature.

A generic framework is initially proposed containing the fundamental concepts of “pre-adoption”, “adoption” and “post-adoption”. The review separates the literature according to three key perspectives: “socio-economic”; “managerial”; and “psychological”. The applicability of the existing approaches to the construction context is discussed, and then a new conceptual framework for construction is developed.

Significant gaps in the understanding of construction technology adoption are identified that provide an interesting agenda for future research. A Construction Technology Adoption Framework is presented, which draws together all of sub-processes involved in technology adoption. This framework covers key activities of both the vendor and the customer.

The study has been restricted to information technologies and construction equipment technology. Other construction technologies, such as formwork systems, have not been examined.

The new framework provides a direction for research into the technology adoption process including key sub-processes and potential research areas. The framework also assists vendors to influence customers’ decision-making processes, and guides new customers in setting up their own decision procedures.

This paper departs from earlier research by focusing on information and equipment technology adoption rather than innovation adoption in general. In addition, this paper considers both sides of the adoption equation (vendor and customer), which is in contrast to previous binary studies which considered one side or the other. It delineates the boundaries of different concepts such as diffusion, adoption, acceptance and implementation, which have been interchangeably used in previous studies. This paper introduces the concept of dissemination to construction, which has previously been investigated in other industries.

Drawing upon the extended resource-based view (ERBV), this research aims to examine the effects of supply chain diversification (SCD) on enterprise digital transformation (DT), focusing on the external perspective of the supply chain.

Leveraging panel data from Chinese A-share listed companies from 2015 to 2022, this research employs multiple regression analysis to empirically examine the relationship between SCD and enterprise DT.

The results of analysis indicate that: (1) SCD positively influences enterprise DT, a relationship that persists even after rigorous endogenous and serial robustness testing. (2) SCD fosters enterprise DT by bolstering its absorption, innovation, and adaptive capabilities. (3) Executive risk preferences and Pilot Policies positively mediate the effects of SCD on enterprise DT.

This research provides novel empirical insights into the underlying mechanism linking SCD and enterprise DT. The findings offer valuable guidance for enterprises seeking to optimize supply chain management and embrace DT, while also informing policymakers on strategies to facilitate SCD and DT enhancement among enterprises.