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1 – 10 of 78Feng Yao, Qinling Lu, Yiguo Sun and Junsen Zhang
The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the…
Abstract
The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.
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Corey Fuller and Robin C. Sickles
Homelessness has many causes and also is stigmatized in the United States, leading to much misunderstanding of its causes and what policy solutions may ameliorate the problem. The…
Abstract
Homelessness has many causes and also is stigmatized in the United States, leading to much misunderstanding of its causes and what policy solutions may ameliorate the problem. The problem is of course getting worse and impacting many communities far removed from the West Coast cities the authors examine in this study. This analysis examines the socioeconomic variables influencing homelessness on the West Coast in recent years. The authors utilize a panel fixed effects model that explicitly includes measures of healthcare access and availability to account for the additional health risks faced by individuals who lack shelter. The authors estimate a spatial error model (SEM) in order to better understand the impacts that systemic shocks, such as the COVID-19 pandemic, have on a variety of factors that directly influence productivity and other measures of welfare such as income inequality, housing supply, healthcare investment, and homelessness.
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Sophie Hunt, Dag Håkon Haneberg and Luitzen de Boer
This paper aims to make sense of the social enterprise in a frame of social procurement and conceptualise it as a provider of public welfare based on bibliometric material…
Abstract
Purpose
This paper aims to make sense of the social enterprise in a frame of social procurement and conceptualise it as a provider of public welfare based on bibliometric material. Comprehensively, it contributes to developments in social procurement, which has received limited attention.
Design/methodology/approach
Scoping literature from Web of Science and using bibliometric methods, the paper identifies and qualitatively explores the literary intersections between social enterprise and social procurement.
Findings
Of the 183 articles, four literary clusters are revealed illustrating scholarly intersections and a detailed exploration of social enterprise as a public provider. The alignment and themes of the clusters further indicate the application of, and role played by, social enterprise in social procurement. Collectively, they reveal the dominance of social enterprise in this dyadic relationship and a minor undertaking of research in social procurement.
Social implications
This “sense-making” groundwork forms a foundational step in developing our understanding of procurements through social enterprises. Furthermore, a positioning and conceptualisation of social enterprise accredits their utility and applicability in delivering public benefits. In this way, the paper informs and supports scholarly and practice-based interest into social enterprises for the delivery of public services.
Originality/value
The paper presents the first bibliometric conceptualisation of social enterprise in relation to social procurement and offers detailed insights through the bibliometric clusters. Furthermore, the paper contributes to the underdeveloped social dimension of procurement and bridges the gap between two distinct fields of scholarship: public management and administration and social entrepreneurship.
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Michael T. Miller and Daniel P. Nadler
The purpose of this chapter was to explore how the values of higher education institutions, and ultimately society, are conveyed through the curriculum of an institution. The…
Abstract
The purpose of this chapter was to explore how the values of higher education institutions, and ultimately society, are conveyed through the curriculum of an institution. The arguments for focusing on a liberal education grounded in critical thinking are highlighted and then compared to the growing trend of occupational education being the central focus of a college education. The need to understand populist thinking in particular is aligned with the social responsibility that educational institutions carry in their charters. This means that the students and parents who pay tuition for their education want something to show for their investment, namely a level of compensation and employment that is perceived to be correlated with the expense of the degree. The competing views of education and training are then considered in a global context, noting the interconnectedness of the intellectual and business community around the globe. This chapter concludes by highlighting the importance of education and its impact on cultural understanding and engagement as a value, especially calling upon public policymakers to keep higher education leaders in check as they develop plans and expectations for their institutions.
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Bhabani Shankar Nayak and Nigel Walton
The paper argues that the classical Marxist theory of capitalist accumulation is inadequate to understand new forms of capitalism and their accumulation processes determined by…
Abstract
Purpose
The paper argues that the classical Marxist theory of capitalist accumulation is inadequate to understand new forms of capitalism and their accumulation processes determined by “platforms” and “big data”. Big data platforms are shaping the processes of production, labour, the price of products and market conditions. “Digital platforms” and “big data” have become an integral part of the processes of production, distribution and exchange relations. These twin pillars are central to the capitalist accumulation processes. The article argues that the classical Marxist theory of capitalist accumulation is inadequate to understand new forms of capitalism and their accumulation processes determined by “platforms” and “big data”.
Design/methodology/approach
As a conceptual paper, this paper follows critical methodological lineages and traditions based on non-linear historical narratives around the conceptualisation, construction and transition of the “Marxist theory of capital accumulation” in the age of platform economy. This paper follows a discourse analysis (Fairclough, 2003) to locate the way in which an artificial intelligence (AI)-led platform economy helps identify and conceptualise new forms of capitalist accumulation. It engages with Jørgensen and Phillips' (2002) contextual and empirical discursive traditions to undertake a qualitative comparative analysis by exploring a broad range of complex factors with case studies and examples from leading firms within the platform economy. Finally, it adopts two steps of “Theory Synthesis and Theory Adaptation” as outlined by Jaakkola (2020) to synthesise, adopt and expand the Marxist theory of capital accumulation under platform capitalism.
Findings
This article identifies new trends and forms of data driven capitalist accumulation processes within the platform capitalism. The findings suggest that an AI led platform economy creates new forms of capitalist accumulation. The article helps to develop theoretical understanding and conceptual frameworks to understand and explain these new forms of capital accumulation.
Originality/value
This study builds upon the limited theorisation on the AI and new capitalist accumulation processes. This article identifies new trends and forms of data driven capitalist accumulation processes within platform capitalism. The article helps to understand digital and platform capitalisms in the lens of digital labour and expands the theory of capitalist accumulation and its new forms in the age of datafication. While critiquing the Marxist theory of capitalist accumulation, the article offers alternative approaches for the future.
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Vesa Tiitola, Tuomas Jalonen, Mirva Rantanen-Flores, Tuomas Korhonen, Johanna Ruusuvuori and Teemu Laine
This paper aims to explore how the maieutic role of management accounting (MA) can be sustained in the context of MA digitalization.
Abstract
Purpose
This paper aims to explore how the maieutic role of management accounting (MA) can be sustained in the context of MA digitalization.
Design/methodology/approach
The paper begins with practitioners’ descriptions of the context that makes the MA support of non-routine decisions maieutic. To understand how the maieutic characteristics can be sustained in future MA digitalization, the authors then analyze the discourses these practitioners have about artificial intelligence (AI) in providing MA support.
Findings
As a basis, the authors’ data show various maieutic characteristics within the use of MA answers in decision-making as well as within the MA process of generating such answers. The paper then identifies three MA digitalization discourses, namely, “computation,” “judgment” and human-AI “interaction” discourse, each with their unique agendas on how AI should be used.
Originality/value
The paper is based on the premises that AI and digitalization are often discussed without sufficient understanding about the context being digitalized. The authors’ data suggest that MA support in non-routine decision-making is fundamentally maieutic, and AI – as it currently stands – is not expected to change this by providing perfect answers. The authors provide novel insights about maieutic MA support and the current discourses on using AI in MA support, and how digitalization does not necessarily compromise maieutic MA support but instead has the potential to sustain or even enhance it.
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Lindsay Hastings, Hannah Sunderman and Nick Knopik
The purpose of the current application paper is to integrate previous literature with recent results from practitioners on effective practices for utilizing small groups in the…
Abstract
Purpose
The purpose of the current application paper is to integrate previous literature with recent results from practitioners on effective practices for utilizing small groups in the leadership classroom.
Design/methodology/approach
We use these integrated findings to innovate practice on maximizing the role of undergraduate teaching assistants (UTAs) by matching their tasks to signature pedagogies in leadership education.
Findings
The integrated findings revealed three practice themes: (1) match UTAs to pedagogical approach, (2) create small groups by design and (3) providing training and reflection practice for UTAs.
Originality/value
In sum, leadership education can and should challenge historical practices in higher education whereby UTAs are used purely for grading and course logistics management.
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Bankole Osita Awuzie, Zwelinzima P. Mcwari, Progress Shingai Chigangacha, Clinton Ohis Aigbavboa, Theo C. Haupt and Lovelin Obi
An increase in outsourcing of consultancy services has been observed during procurement and delivery of public-sector infrastructure projects. However, the incidence of project…
Abstract
Purpose
An increase in outsourcing of consultancy services has been observed during procurement and delivery of public-sector infrastructure projects. However, the incidence of project failure has continued unabated despite this shift by public-sector entities. Also, there appears to be limited literature focussed on seeking to provide the rationale governing the decision to outsource or insource consultancy services by public-sector organisations. The purpose of this study was to appraise the performance of public-sector projects in which consultancy services have been outsourced or insourced. These are the gaps which this study was undertaken to fill.
Design/methodology/approach
A grounded theory methodology (GTM) research design was adopted based on the nature of evidence sought and gathered from a Provincial Department of Public Works and Infrastructure (PDPWI) in South Africa. Data was obtained from a mixture of semi-structured interviews and project-specific documents spanning a five-year period and was analysed according to the procedures associated with GTM. Accordingly, open coding, axial coding and pattern matching were carried out at several intervals to develop categories and themes.
Findings
The findings of the study showed the absence of a structured approach within the PDPWI for facilitating decisions pertaining to outsourcing or insourcing consultancy services within construction projects. Furthermore, the study established that both approaches yielded similar results across all performance facets of cost, time and quality. In addition, a detailed insight into the steps required for the successful application of GTM in built environment research has been provided in the study.
Originality/value
Limited studies have been undertaken to compare the impact of either outsourced or insourced services on the organisational and project performance. This was the gap to which the study reported in this paper was undertaken to contribute.
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