A Proposal for Supply Chain Management Research That Matters: Sixteen High Priority Research Projects for the Future

On May 4th, 2016 in Milton, Ontario, the World Class Supply Chain 2016 Summit was held in partnership between CN Rail and Wilfrid Laurier University’s Lazaridis School of Business & Economics to realize an ambitious goal: raise knowledge of contemporary supply chain management (SCM) issues through genuine peer-­‐to-­‐peer dialogue among practitioners and scholars. A principal element of that knowledge is an answer to the question: to gain valid and reliable insights for attaining SCM excellence, what issues must be researched further? This White Paper—which is the second of the summit’s two White Papers—addresses the question by proposing a research agenda comprising 16 research projects. This research agenda covers the following: The current state of research knowledge on issues that are of the highest priority to today’s SCM professionals Important gaps in current research knowledge and, consequently, the major questions that should be answered in sixteen future research projects aimed at addressing those gaps Ways in which the research projects can be incorporated into student training and be supported by Canada’s major research funding agencies That content comes from using the summit’s deliberations to guide systematic reviews of both the SCM research literature and Canadian institutional mechanisms that are geared towards building knowledge through research. The major conclusions from those reviews can be summarized as follows: While the research literature to date has yielded useful insights to inform the pursuit of SCM excellence, several research questions of immense practical importance remain unanswered or, at best, inadequately answered The body of research required to answer those questions will have to focus on what the summit’s first White Paper presented as four highly impactful levers that SCM executives must expertly handle to attain excellence: collaboration; information; technology; and talent The proposed research agenda can be pursued in ways that achieve the two inter-­‐related goals of creating new actionable knowledge and building the capacity of today’s students to become tomorrow’s practitioners and contributors to ongoing knowledge growth in the SCM field This White Paper’s details underlying these conclusions build on the information presented in the summit’s first White Paper. That is, while the first White Paper (White Paper 1) identified general SCM themes for which the research needs are most urgent, this White Paper goes further along the path of industry-academia knowledge co-creation. It does so by examining and articulating those needs against the backdrop of available research findings, translating the needs into specific research projects that should be pursued, and providing guidelines for how those projects can be carried out

Inclusive growth analytics : framework and application

This paper argues that inclusive growth analytics has a distinct character focusing on both the pace and pattern of growth. Traditionally, applied country-specific poverty and growth analyses have been done separately. This paper describes the conceptual elements for an analytical strategy aimed to integrate these two strands of analyses, and to identify and prioritize country-specific constraints to sustained and inclusive growth. The authors apply the framework to the case of Zambia. The analysis suggests that income growth in Zambia is constrained by poor access to domestic and international markets, inputs, extension services, and information. High indirect costs - mostly attributable to infrastructure service-related inputs in production including energy, transport, telecom, water, but also insurance, marketing, and professional services - undermine Zambia's competitiveness, limit job creation, and therefore serve as a major constraint to inclusive growth. Improving the quality and access to secondary and tertiary education is essential if the poor are to benefit from future growth of the non-farm economy. Weak governance and, in particular, poor government effectiveness are factors behind the market coordination failures and the identified government failures, and are as such major obstacles to inclusive growth in Zambia.Rural Poverty Reduction,Achieving Shared Growth,,Access to Finance,Economic Theory&Research

SCOPE OF INTERNET OF THINGS: A SURVEY

The advent of internet of things (IoT) has influenced and revolutionized the information systems and computing technologies. A computing conceptwhere physical objects used in daily life, will identify themselves by getting connected to the internet is called IoT. Physical objects embedded withelectronic, software, radio-frequency identification, sensors, actuators and smart objects converge with the internet to accumulate and share datain IoT. IoT is expected to bring in drastic changes and solutions to most of the daily problems in the real world. This paper explains in detail the keyconcepts of IoT, the applications of IoT, the challenges in establishing IoT. This work also explains in detail the future scope of IoT in different fields.Â

The value of data: towards a framework to redistribute it

This note attempts a systematisation of different pieces of literature that underpin the recent policy and academic debate on the value of data. It mainly poses foundational questions around the definition, economic nature and measurement of data value, and discusses the opportunity to redistribute it. It then articulates a framework to compare ways of implementing redistribution, distinguishing between data as capital, data as labour or data as an intellectual property. Each of these raises challenges, revolving around the notions of data property and data rights, that are also briefly discussed. The note concludes by indicating areas for policy considerations and a research agenda to shape the future structure of data governance more at large

Rounding in earnings data

A report showing that although rounding in earnings data is typically ignored, its systematic nature affects some commonly used statistics based on earnings data, particularly those focusing on a specific region of the wage distribution.Wages ; Statistics

The Value of Data: Towards a Framework to Redistribute It

1noopenThis note attempts a systematisation of different pieces of literature that underpin the recent policy and academic debate on the value of data. It mainly poses foundational questions around the definition, economic nature and measurement of data value, and discusses the opportunity to redistribute it. It then articulates a framework to compare ways of implementing redistribution, distinguishing between data as capital, data as labour or data as an intellectual property. Each of these raises challenges, revolving around the notions of data property and data rights, that are also briefly discussed. The note concludes by indicating areas for policy considerations and a research agenda to shape the future structure of data governance more at large.openSavona, MariaSavona, Mari

Trust is the new black

Trust is at the heart of ongoing relationships amongst people, but also with brands and companies. It has become a hot topic (Connelly, 2017, Huffington, 2015), particularly given the increasing media coverage of breakdowns in customer trust in well-known companies such as VW, Tesco, BP and Google. But away from these headlines is a stronger, more underlying trend. A move from transactions to longer term customer relationships. The risk of undermining that relationship through not being transparent, not being fair, not having reliable products and services is exacerbated as our world becomes increasingly technology focused. Relationships with suppliers we don’t know are built through trusted on-line third parties. Information about products and services we are unfamiliar with is increasingly sought from others, on-line, and subsequent feedback on customer experiences shared quickly and widely. Where companies are not transparent, the exponential growth in speed and breadth of news spreading makes them vulnerable. It is impossible to hide. However, to assess our own approach to corporate and brand trust, it helps to go back to the key academic theories to discover the concepts that underpin our understanding of trust, the factors that build trust and the outputs that emerge. In addition, we need to understand our performance on trust in the light of data from an industry and global context but also to support the business case for ensuring it remains a business priority. Examining a few of the high-profile failures in trust also helps us identify the range of areas where trust can be undermined. They provide pieces of a jigsaw that, when seen together, help us understand a broader picture of trust to inform our approach with our businesses and our customers now and in the future

Can artificial intelligence, RegTech and CharityTech provide effective solutions for anti-money laundering and counter-terror financing initiatives in charitable fundraising

Purpose: Artificial intelligence has had a major impact on organisations from Banking through to Law Firms. The rate at which technology has developed in terms of tasks that are complex, technical and time consuming has been astounding. The purpose of this article is to explore the solutions that AI, RegTech and CharityTech provide to charities in navigating the vast amount of anti-money laundering and counter-terror finance legislation in the United Kingdom; so that they comply with the requirements and mitigate the potential risk they face but also develop a more coherent and streamlined set of actions. Design/methodology/approach: The subject is approached through the analysis of data, literature and, domestic and international regulation. The first part of the article explores the current obligations and risks charities face, these are then, in the second part, set against the examination of potential technological solutions as at August 2020. Findings: It is suggested that charities underestimate the importance of the nature and size of the threat posed to them, this is significant, as demonstrated, given the growing size and impact of the sector. Technological solutions are suggested to combat the issues charities face. Originality: The work is original because it is the first to create the notion of CharityTech, and to specifically explore what technological advances can assist charities in meeting the regulatory compliance challenge

Can Machine Learning, as a RegTech Compliance Tool, lighten the Regulatory Burden for Charitable Organisations in the United Kingdom?

Purpose: The purpose of this article is to explore the extent to which machine learning can be used as solution to lighten the compliance and regulatory burden on charitable organisations in the United Kingdom. Design/methodology/approach: The subject is approached through the analysis of data, literature, and domestic and international regulation. The first part of the article summarises the extent of current regulatory obligations faced by charities, these are then, in the second part, set against the potential technological solutions provided by machine learning as at July 2021. Findings: It is suggested that charities can utilise machine learning as a smart technological solution to ease the regulatory burden they face in a growing and impactful sector. Originality: The work is original because it is the first to specifically explore how machine learning as a technological advance can assist charities in meeting the regulatory compliance challenge