Technology Roadmapping Using Text Mining: A Foresight Study for the Retail Industry

Technology roadmapping is a widely accepted method for offering industry foresight as it supports strategic innovation management and identifies the potential application of emerging technologies. While roadmapping applications have been implemented across different technologies and industries, prior studies have not addressed the potential application of emerging technologies in the retail industry. Furthermore, few studies have examined service-oriented technologies by a roadmapping method. Methodologically, there are limited roadmapping studies that implement both quantitative and qualitative approaches. Hence, this article aims to offer a foresight for future technologies in the retailing industry using an integrated roadmapping method. To achieve this, we used a sequential method that consisted of both text mining and an expert review process. Our results show clear directions for the future of emerging technologies as the industry moves toward unmanned retail operations. We generate eight clusters of technologies and integrate them into a roadmapping model, illustrating their links to the market and business requirements. Our study has a number of implications and identifies potential bottlenecks between the integration of front- and back-end solutions for the future of unmanned retailing

Doing cold smarter

Cold has been much neglected in the energy debate. Governments are developing strategies and policies to green everything from electricity to transport to heat, but the energy and environmental impacts of cooling have so far been largely ignored. This is a serious oversight, since making things cold is energy intensive and can be highly polluting, and demand for cooling in all its forms is booming worldwide – especially in developing countries. According to one projection, by the end of this century global demand for air conditioning alone could consume the equivalent of half our worldwide electricity generation today – and most of the increase will come in developing markets. The ‘greening’ of cold is clearly an urgent global problem – but it may also offer Britain a massive business opportunity. Cold may have been ignored but is vitally important to many aspects of modern life. An effective cold chain, for example, is essential for tackling problems such as food waste, food security, water conservation and public health. Cooling is also critical for many less obvious but essential functions: data centres couldn’t operate without it, nor for example MRI scanners in medicine or superconductors in power electronics. Cooling also provides modern levels of comfort in hot countries – and can make the difference between some regions being habitable or not. At the same time, vast amounts of cold are wasted – for instance during the regasification of LNG – which could in principle be recycled to satisfy some of this demand and start to reduce the environmental damage caused by cooling. Such a system-level approach – which starts by asking what energy services we need, and what is the least damaging way to provide them, rather than accepting existing practices as a fait accompli – has recently been coined the ‘Cold Economy’. It is clear the Cold Economy could unleash a wide range of innovative clean cold technologies and provide energy resilience, economic growth and environmental benefits, but there is an urgent need to develop a system-level analysis of this problem and the potential solutions to inform both industry and policymakers. The Birmingham Policy Commission: Doing Cold Smarter was convened to start this work

Harnessing the power of the general public for crowdsourced business intelligence: a survey

International audienceCrowdsourced business intelligence (CrowdBI), which leverages the crowdsourced user-generated data to extract useful knowledge about business and create marketing intelligence to excel in the business environment, has become a surging research topic in recent years. Compared with the traditional business intelligence that is based on the firm-owned data and survey data, CrowdBI faces numerous unique issues, such as customer behavior analysis, brand tracking, and product improvement, demand forecasting and trend analysis, competitive intelligence, business popularity analysis and site recommendation, and urban commercial analysis. This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI. It also investigates novel application areas as well as the key challenges and techniques of CrowdBI. Furthermore, we make discussions about the future research directions of CrowdBI

Trendswatch 2013: Back to the Future

TrendsWatch 2013 highlights six trends that CFM's staff and advisors believe are highly significant to museums and their communities, based on our scanning and analysis over the past year. For each trend, we provide a brief summary, list examples of how the trend is playing out in the world, comment on the trend's significance to society and to museums specifically, and suggest ways that museums might respond. We also provide links to additional readings. TrendsWatch provides valuable background and context for your museum's planning and implementation

Mobile payment technologies in retail: a review of potential benefits and risks

Purpose – Retailers and suppliers are facing the challenge of reconfiguring systems to accommodate increasingly mobile customers expecting multichannel options supporting quick and secure digital payment. The purpose of this paper is to harness the learning from the implementation of self-checkout and combines it with available information relating to mobile scanning and mobile point-of-sale (MPOS). Design/methodology/approach – In review of the literature, the paper provides an overview of different modes of mobile payment systems, and a consideration of some of the benefits that they offer to retailers and their customers. The main focus, drawing upon telephone interviews with retail security professionals in Australia and New Zealand, is on anticipating and mitigating against the potential risks, vulnerabilities and impact on shrinkage. Findings – With the market being flooded with software and products, retailers are exposed to a compelling case for mobile payment, but it was found that they are not as cognisant of the potential risks. Research limitations/implications – Further research is needed on the different permutations of mobile POS and how it impacts on the customer journey and rates of internal and external theft. Practical implications – Suggestions for future empirical research on the risks and vulnerabilities that moving to mobile payment can usher in are provided. Originality/value – The paper links research from diverse fields, in particular criminology, to elucidate the potential impact of mobile technologies on retail theft and internal technological and process issues, before offering possible solutions