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The present research focuses on improving the awareness related to soft total quality management (TQM) practices by looking from the viewpoint of strategic human resources (HR). In addition, it is intended to reflect on the resulting soft TQM-HR outcomes and determine the mediating effect between soft TQM-HR strategies and organizational effectiveness (OE).

An exploratory research methodology with an online survey technique was adopted for the study. Three hundred and three managerial-level personnel from nine large Indian manufacturing organizations participated in the research. A theoretical model is projected and verified using correlation and mediation analysis.

The results show that commitment, reduced turnover intentions and satisfaction levels of employees mediate the relationship between resources, development and retention strategies and OE. However, the retention strategy has the strongest association with the OE of the three strategies. Also, of the three HR outcomes, satisfaction was strongly associated with OE. The analysis proved that the proposed model is an acceptable fit.

Implementing HR-related TQM strategies will likely impact OE since it elicits positive HR outcomes such as commitment, reduced turnover intention and satisfaction. Recognizing human resources as a unique strategic asset will help HR managers devise adequate resourcing, development and retention strategies instrumental in executing TQM.

The present micro study is unique in scrutinizing the influence of soft TQM-HR practices on organizational effectiveness by analysing the mediating effects of commitment, reduced turnover intention and satisfaction in Indian large-scale manufacturing organizations. The study is unique since no literature deciphers the linkages between HR strategies and organizational effectiveness in the Indian manufacturing sector.

Advancements in responsive manufacturing have been supporting companies over the last few decades. However, manufacturers now operate in a context of continuous uncertainty. This research paper explores a mechanism where companies can “elastically” provision and deprovision their production capacity, to enable them in coping with repeated disruptions. Such a mechanism is facilitated by the imitability and substitutability of production resources.

An inductive study was conducted using Gioia methodology for this theory generation research. Respondents from 20 UK manufacturing companies across multiple industrial sectors reflected on their experience during COVID-19. Resource-based view and resource dependence theory were employed to analyse the manufacturers' use of internal and external production resources.

The study identifies elastic responses at four operational levels: production-line, factory, company and supply chain. Elastic responses that imposed variable-costs were particularly well-suited for coping with unforeseen disruptions. Further, the imitability and substitutability of manufacturers helped others produce alternate goods during the crisis.

While uniqueness of production capability helps manufacturers sustain competitive advantage against competitors during stable operations, imitability and substitutability are beneficial during a crisis. Successful manufacturing companies need to combine these two approaches to respond effectively to repeated disruptions in a context of ongoing uncertainties. The theoretical contribution is in characterising responsive manufacturing in terms of resource heterogeneity and resource homogeneity, with elastic resourcing as the underlying mechanism.

This paper delves into the pivotal role of public libraries in supporting and promoting literacy, with a particular focus on their relevance in financially and infrastructurally low-resourced territories (FILTs). Literacy, being a fundamental skill, empowers individuals, enriches education and contributes to social and economic development. Nonetheless, numerous FILTs encounter substantial obstacles in granting access to quality education and fostering literacy skills among their people. As an opinion piece rooted in empirical literature, this paper serves as an introductory exploration, acknowledging that it only skims the surface of raising awareness.

This paper expands upon the existing body of literature concerning public libraries and the imperative for literacy programs. It purposefully addresses a range of issues that may appear contradictory in FILTs, primarily due to economic constraints. However, from the authors’ perspective, these issues actually highlight the vast potential for intervention and progress.

Numerous evident strategies can be identified to attain the goal of an enlightened and educated nation, fostering empowered individuals. One such approach involves prioritizing the promotion and support of literacy programs in public libraries. Nonetheless, there is a pressing need for heightened awareness regarding the significance of adopting a holistic perspective when addressing various interconnected issues. This includes the long-term advantages associated with an educated and literate society, particularly in FILTs.

The literature within the field of library and information science offers scarce publications regarding literacy support programs in libraries, despite the fact that fostering informed and literate citizens is a prominent goal in the mission and vision plans of numerous FILTs. This paper presents an exploratory perspective, aiming to raise awareness about the significance of considering diverse approaches to support and promote literacy in public libraries within FILTs. It also proposes the development of a framework as a means to facilitate this endeavor. While the context of the paper is framed for FILTs, aspects of the framework may also be useful and applicable in other well-resourced regions and libraries.

This paper aims to investigate associations between firm resources and reliance on entrepreneurial marketing (EM) channels among agrofood ventures. It accounts for agropreneur gender and racial/ethnic status in the context of marketing channel portfolio composition. The authors examine the established assumption that resource limitations drive EM and whether socially disadvantaged status of agropreneurs is associated with marketing strategy beyond standard resourcing measures.

Using 2015 Local Foods Marketing Practices Survey data, the authors apply linear regression to investigate differences in the use of EM channels, accounting for resources, social status and other factors.

Limited-resource ventures rely more on consumer-oriented channels that require EM practices. Socially disadvantaged entrepreneurs favor these channels, even when accounting for resources. Notably, ventures headed by men of color rely more on the most customer-centric local foods marketing channel.

Future research should investigate how social and human capital influences the use of EM.

Entrepreneurial support policy and practice for agropreneurs should be cautious about the “double-burden” folk theorem of intersectional disadvantage and review how to best direct resources on EM to groups most likely to benefit.

This paper uses a unique, restricted, nation-wide, federal data set to examine relationships between resource endowments, social status and the composition of agrofood enterprises’ marketing channel portfolios. To the best of the authors’ knowledge, it is the first to include racial- and ethnic-minority status of agropreneurs and to account for intersectionality with gender.

The study aims to qualitatively analyze how faculty can mobilize the intellectual capital of higher education institutions (HEIs), comprising human, structural and relational capital to enable the education and learning of individuals with intellectual and developmental disabilities.

Drawing upon the extant literature, the researcher conducted a qualitative study through written, in-depth interviews with a sample of 40 academic staff/faculty members having prior experience in teaching individuals with intellectual and developmental disabilities. The data was collected through a set of questions formulated as key questions, to be asked to all participants for their responses.

Results of the analysis demonstrated that intellectual capital’s contribution to higher education of individuals with intellectual and developmental disabilities can be best understood in terms of its three components/dimensions. Accordingly, three main themes, with each comprising two sub-themes were uncovered. The first theme, leveraging human capital comprised: faculty acumen and faculty training as sub-themes; the second theme, resourcing structural capital comprised: tangible and intangible structural capital as sub-themes; and the third theme, nurturing relational capital comprised: in-class engagement and the second is ex-class connection as sub-themes.

The paper collects data from 40 faculty having prior experience in teaching individuals with intellectual and developmental disabilities to explore and reveal a completely new perspective of looking at intellectual capital as a means of providing accessible and inclusive higher education to differently-abled students, making them a part of the mainstream.

This paper provides practical advice for archaeologists and heritage specialists wishing to use ML approaches to identify archaeological features in high-resolution satellite imagery (or other remotely sensed data sources). We seek to balance the disproportionately optimistic literature related to the application of ML to archaeological prospection through a discussion of limitations, challenges and other difficulties. We further seek to raise awareness among researchers of the time, effort, expertise and resources necessary to implement ML successfully, so that they can make an informed choice between ML and manual inspection approaches.

Automated object detection has been the holy grail of archaeological remote sensing for the last two decades. Machine learning (ML) models have proven able to detect uniform features across a consistent background, but more variegated imagery remains a challenge. We set out to detect burial mounds in satellite imagery from a diverse landscape in Central Bulgaria using a pre-trained Convolutional Neural Network (CNN) plus additional but low-touch training to improve performance. Training was accomplished using MOUND/NOT MOUND cutouts, and the model assessed arbitrary tiles of the same size from the image. Results were assessed using field data.

Validation of results against field data showed that self-reported success rates were misleadingly high, and that the model was misidentifying most features. Setting an identification threshold at 60% probability, and noting that we used an approach where the CNN assessed tiles of a fixed size, tile-based false negative rates were 95–96%, false positive rates were 87–95% of tagged tiles, while true positives were only 5–13%. Counterintuitively, the model provided with training data selected for highly visible mounds (rather than all mounds) performed worse. Development of the model, meanwhile, required approximately 135 person-hours of work.

Our attempt to deploy a pre-trained CNN demonstrates the limitations of this approach when it is used to detect varied features of different sizes within a heterogeneous landscape that contains confounding natural and modern features, such as roads, forests and field boundaries. The model has detected incidental features rather than the mounds themselves, making external validation with field data an essential part of CNN workflows. Correcting the model would require refining the training data as well as adopting different approaches to model choice and execution, raising the computational requirements beyond the level of most cultural heritage practitioners.

Improving the pre-trained model’s performance would require considerable time and resources, on top of the time already invested. The degree of manual intervention required – particularly around the subsetting and annotation of training data – is so significant that it raises the question of whether it would be more efficient to identify all of the mounds manually, either through brute-force inspection by experts or by crowdsourcing the analysis to trained – or even untrained – volunteers. Researchers and heritage specialists seeking efficient methods for extracting features from remotely sensed data should weigh the costs and benefits of ML versus manual approaches carefully.

Our literature review indicates that use of artificial intelligence (AI) and ML approaches to archaeological prospection have grown exponentially in the past decade, approaching adoption levels associated with “crossing the chasm” from innovators and early adopters to the majority of researchers. The literature itself, however, is overwhelmingly positive, reflecting some combination of publication bias and a rhetoric of unconditional success. This paper presents the failure of a good-faith attempt to utilise these approaches as a counterbalance and cautionary tale to potential adopters of the technology. Early-majority adopters may find ML difficult to implement effectively in real-life scenarios.

Unlike many high-profile reports from well-funded projects, our paper represents a serious but modestly resourced attempt to apply an ML approach to archaeological remote sensing, using techniques like transfer learning that are promoted as solutions to time and cost problems associated with, e.g. annotating and manipulating training data. While the majority of articles uncritically promote ML, or only discuss how challenges were overcome, our paper investigates how – despite reasonable self-reported scores – the model failed to locate the target features when compared to field data. We also present time, expertise and resourcing requirements, a rarity in ML-for-archaeology publications.

This paper explores the challenging nexus of police custody, risk and intra-organisational boundaries in the context of a recently reformed national police service. Police custody is an often-hidden aspect of policing, away from the public gaze and scrutiny. Although there is increasing recognition of the importance of rural policing (e.g. Harkness (2020); Mawby and Yarwood (2011); Ruddell and Jones (2020); Yarwood and Wooff (2016)), there has been little or no focus on rural police custody. This paper seeks to begin to redress this by focussing on the challenges faced by rural police custody in the context of large-scale organisational change.

This paper draws on data from a study funded by the Scottish Institute for Policing Research (2016–2018), entitled “Measuring Risk and Efficiency in Police Custody in Scotland”. The paper adopts a qualitative methodology to develop an understanding of the varying nature of police custody across Scotland. Two contrasting case study locations were selected, one urban and one rural. 12 semi-structured interviews and 15 hours of observation were carried out. Data was transcribed, coded and analysed and thematic analysis enabled themes to be developed. This paper draws on the data from the rural custody suite.

Drawing on the theoretical framework of Giacomantonio (2014) and more recent considerations of abstract policing Terpstra et al. (2019), this paper offers insights into the ways that police custody in rural Scotland has been organised, against the backdrop of challenging organisational change. I argue that as policing services in Scotland have become increasingly “abstract” from communities, police custody as a national division has witnessed the impact of this more greatly than other parts of local policing. Intra-organisational management around staffing has led to complex management of risk, illustrating some of the challenges of national organisational change on police custody.

This paper focuses on the impact of large scale organisational change on rural police custody and intra-organisational relationships and dynamics. Rural policing is still a largely neglected area of study and rural police custody is even less understood. This paper therefore provides an original contribution by focusing on this under-researched area of policing. It also illustrates complexity around risk, staffing and management of people being held in rural police custody suites. It is therefore of value to policing scholars in other contexts, as well as rural criminology more generally. It has applicability to international contexts where macro level policing reform is occurring.

Post-COVID-19, public K–12 schools are still facing the consequences of the years of interrupted learning. Schools serving minoritized students are particularly at risk for facing challenges with academics, behavior and student social emotional health. The university counseling programs are in positions to build capacity in urban schools while also supporting counselors-in-training through service-learning opportunities.

The following conceptual manuscript demonstrates how counselor education counseling programs and public schools can harness the capacity-building benefits of university–school partnerships. While prevalent in fields like special education, counselor educators have yet to heed the hall to participate in mutually beneficial partnership programs.

Using the multi-tiered systems of support (MTSS) and the components of the university–school partnerships, counselor educators and school stakeholders can work together to support student mental health, school staff well-being and counselor-in-training competence.

The benefits and opportunities within the university–school partnerships are well documented. However, few researchers have described a model to support partnerships between the university counseling programs and urban elementary schools. We provide a best practice model using the principles of university–school partnerships and a school’s existing MTSS framework.

International business as a field values perspectives from various contexts, but scholars from emerging markets face a number of often-unseen challenges preventing them from fully contributing to the field. This study aims to explain those challenges and what the author has done to manage them.

This is a Reflexive piece in which the author makes sense of her own experience as a scholar not only of but also in an emerging market, as well as the experiences at her school in seeking to develop a high-quality doctoral program.

When leading scholars interact, whether in writing or in person, they tend to be in academically and otherwise well-resourced locations. This is true even for the leading international business scholars of emerging markets, and it imposes time and financial costs on scholars located in emerging markets wanting to participate in such conversations. Having experienced such challenges, the author worked with colleagues to design a doctoral program that could nurture rich scholarly conversations at the school. However, there remains a clear and pervasive tension between the inclusive aspirations of the field and the tendency for cutting-edge academic conversations to be concentrated in the developed world.

The experiences of emerging market scholars remain underrepresented in the field. By drawing on her own experience, both as a scholar and the head of the doctoral program at her school, the author provides suggestions for how to think about and develop a more inclusive scholarly conversation.

The purpose of this paper is to present the views of people living with dementia in extra care housing (ECH). This is a model of housing with care and support aiming to support older people, including those with dementia, to live independently. Previous research identifies benefits but is predominantly derived from third-party accounts, with the voices of those living with dementia in ECH significantly absent.

This study adopted a qualitative approach conducting 100 interviews across 8 ECH schemes in England. Over half of the interviews were conducted with people living with dementia and their families with the remainder involving staff and commissioners.

Findings suggest there are a range of benefits including owning your own home, having a safe, age friendly location with flexible support, social interaction and continuing to live as a couple. Challenges included availability of staff, flexible resourcing, loneliness and the advancing symptoms of dementia.

Despite efforts to create an inclusive, diverse sample, the participants were all White British. Participants involved were identified by gatekeepers, which may present some bias in the selection.

Whilst ECH offers benefits to people living with dementia, addressing the challenges is essential for effective dementia care. Improving staff training, promoting person-centred care and fostering an inclusive community are critical for enhancing residents’ well-being and quality of life.

This paper explored the lived experiences of residents and family members, providing new insight into the advantages and disadvantages of ECH for people living with dementia.