Data and Predictive Analytics Use for Logistics and Supply Chain Management

Purpose The purpose of this paper is to explore the social process of Big Data and predictive analytics (BDPA) use for logistics and supply chain management (LSCM), focusing on interactions among technology, human behavior and organizational context that occur at the technology’s post-adoption phases in retail supply chain (RSC) organizations. Design/methodology/approach The authors follow a grounded theory approach for theory building based on interviews with senior managers of 15 organizations positioned across multiple echelons in the RSC. Findings Findings reveal how user involvement shapes BDPA to fit organizational structures and how changes made to the technology retroactively affect its design and institutional properties. Findings also reveal previously unreported aspects of BDPA use for LSCM. These include the presence of temporal and spatial discontinuities in the technology use across RSC organizations. Practical implications This study unveils that it is impossible to design a BDPA technology ready for immediate use. The emergent process framework shows that institutional and social factors require BDPA use specific to the organization, as the technology comes to reflect the properties of the organization and the wider social environment for which its designers originally intended. BDPA is, thus, not easily transferrable among collaborating RSC organizations and requires managerial attention to the institutional context within which its usage takes place. Originality/value The literature describes why organizations will use BDPA but fails to provide adequate insight into how BDPA use occurs. The authors address the “how” and bring a social perspective into a technology-centric area

Critical business intelligence practices to create meta-knowledge

In order to successfully implement strategies and respond to business variations in real-time, business intelligence (BI) systems have been deployed by organisations that assist in focused analytical assessments for execution of critical decisions. Although businesses have realised the significance of BI, few studies have explored their analytical decision-enabling capabilities linked to organisational practices. This study investigates the BI practices critical in creating meta-knowledge successfully for strategy-focused analytical decision-making. First, key BI suppliers are interviewed to develop an understanding of their BI capabilities and current deployment practices. Subsequently, two large BI implementation case studies are conducted to examine their practices in data transformation process. Findings reveal that BI practices are highly context-specific in mapping decisions with data assets. Complimentary static and dynamic evaluations provide holistic intelligence in predicting and prescribing a more complete picture of the enterprise. These practices vary across firms in their effectiveness reflecting numerous challenges and improvement opportunities.Publishe

Personality and team performance: a meta-analysis

Using a meta-analytical procedure, the relationship between team composition in terms of the Big-Five personality traits (trait elevation and variability) and team performance were researched. The number of teams upon which analyses were performed ranged from 106 to 527. For the total sample, significant effects were found for elevation in agreeableness ( = 0.24) and conscientiousness ( = 0.20), and for variability in agreeableness ( = -0.12) and conscientiousness ( = -0.24). Moderation by type of team was tested for professional teams versus student teams. Moderation results for agreeableness and conscientiousness were in line with the total sample results. However, student and professional teams differed in effects for emotional stability and openness to experience. Based on these results, suggestions for future team composition research are presented

Internal Snd e-Sales Information Systems: Impact On Innovation And Business Performance In The Tourism Sector

The relation between information systems, innovation and business performance is a critical question for both researchers and practitioners. This paper provides an empirical investigation of this issue in the tourism sector by conducting an analysis of the relations between: I) the exploitation level of two widely adopted types of IS, namely internal and e-sales systems (first level); II) the extent of business innovation and benefits from ICT (second level); and III) business performance (third level). This study has been based on firm-level data from 2665 European tourism firms, which have been used for constructing a structural equation model (SEM) and estimating the interrelationship amongst these constructs. The model provided evidence of a positive impact of the exploitation level of both IS (internal and e-sales) on innovation, with the former being a stronger driver of innovation than the latter. The exploitation levels of the internal and e-sales IS were also found to have both a positive impact on the business benefits that the tourism firms achieve from their ICT infrastructures, which impact is also mediated by innovation; internal IS were found to have a higher impact on ICT business benefits than the e-sales IS. Furthermore, these ICT benefits and innovation (both directly and indirectly through the ICT benefits) were found to have an ultimate positive impact on business performance. Consequently, the findings suggest that tourism firms should combine the development of internal ICT and e-sales IS with innovation if they wish to get more IS driven business benefits and ultimately increase their business performance

Actions on urban health enhancement in the Arctic: Salutogenic Planning concept

The prevailing paradigm of environmental health research has emphazised pathogenesis and disease prevention, instead of salutogenic mechanisms of health promotion. Looking at the historical background of the interconnections between public health and urban planning since the 19th century, it can be concluded that the practical measures of environmental health concerns have been underpinned by preventive medicine and probabilities of exposure, focusing on screening health risks and fighting epidemics in urban areas. The only major difference today is that the newly emerged healthy urban planning initiatives are triggered by the global epidemics of non-commutable diseases caused by lifestyle and dietary factors. While many of the recent healthy urban planning initiatives and academic studies have originated from the USA or in the institutional sphere of the World Health Organization, the aim of this article is to add a new dimension to this discussion. The article explicates in detail the environmental mechanisms affecting healthiness and elaborates theoretical perspectives and principles of salutogenic planning. The salutogenic model for health promotion is founded on the theoretical basis developed by sociologist Aaron Antonovsky (1996). He has suggested, that the mechanisms generating health and wellbeing are firmly linked to the general resistance recourses and sense of coherense of individuals and societies. The article suggest that understanding better the salutogenesis of healthy communities, possibilities could open to study their adaptation capacity within the transformation processes of the changing North. Shortcomings in the scientific evidence on how to build healthier environments are demonstrated – and noted that clear examples on healthy planning practices in cold climate are missing.1 Holistic approaches are required, which pay attention to the large number of environmental aspects related to individual and population health and wellbeing in the Arctic areas while seeking sustainable planning solutions in fragile natural environments. The article reveals an undoubted need for further research on building and planning practises which enhance health, social inclusion, resilience and sustainability of northern communities.  1 Reacting to this lack of knowledge, a research initiative called "Health on Thin Ice – urban planning for good health in cold climate" has been launched in 2013 as a Nordic cooperative between University of Oulu, Finland, Luleå university of Technology, Sweden, and Norwegian University of Science and Technology, Trondheim

Blockchain in accounting research : current trends and emerging topics

Purpose This paper provides a structured literature review of blockchain in accounting. The authors identify current trends, analyse and critique the key topics of research and discuss the future of this nascent field of inquiry. Design/methodology/approach This study’s analysis combined a structured literature review with citation analysis, topic modelling using a machine learning approach and a manual review of selected articles. The corpus comprised 153 academic papers from two ranked journal lists, the Association of Business Schools (ABS) and the Australian Business Deans Council (ABDC), and from the Social Science Research Network (SSRN). From this, the authors analysed and critiqued the current and future research trends in the four most predominant topics of research in blockchain for accounting. Findings Blockchain is not yet a mainstream accounting topic, and most of the current literature is normative. The four most commonly discussed areas of blockchain include the changing role of accountants; new challenges for auditors; opportunities and challenges of blockchain technology application; and the regulation of cryptoassets. While blockchain will likely be disruptive to accounting and auditing, there will still be a need for these roles. With the sheer volume of information that blockchain records, both professions may shift out of the back-office toward higher-profile advisory roles where accountants try to align competitive intelligence with business strategy, and auditors are called on ex ante to verify transactions and even whole ecosystems. Research limitations/implications The authors identify several challenges that will need to be examined in future research. Challenges include skilling up for a new paradigm, the logistical issues associated with managing and monitoring multiple parties all contributing to various public and private blockchains, and the pressing need for legal frameworks to regulate cryptoassets. Practical implications The possibilities that blockchain brings to information disclosure, fraud detection and overcoming the threat of shadow dealings in developing countries all contribute to the importance of further investigation into blockchain in accounting. Originality/value The authors’ structured literature review uniquely identifies critical research topics for developing future research directions related to blockchain in accounting.© Tatiana Garanina, Mikko Ranta and John Dumay. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcodefi=vertaisarvioitu|en=peerReviewed

How do Multinationals Build Social Capital? Evidence from South Africa.

This paper looks at the self-reporting of social engagement by multinational firms in South Africa, developing previous measures of social capital to fit the unique context of the multinational firm in particular mapping the configurations of declared engagement and the firms' provision. It finds large intersectoral variation which cannot be predicted by one factor alone, and sometimes wide intrasectoral variation. In particular (and for different reasons) 'extractive' and 'industrial' sector firms traditionally criticised for their impact on communities - and 'medical' sector firms are engaged in practices conducive to the generation of social capital.Social Capital, Corporate Social Responsibility, Business Ethics, South Africa, Multinational Companies

Mission impossible: operations management in complex, extreme, and hostile environments

This PhD thesis seeks to advance knowledge on operations management (OM) challenges and strategies for crisis management in general and humanitarian relief in particular. Although knotty crisis situations are increasing in frequency, duration, and impact, their implications for OM remain ill-understood. I use the humanitarian context as a research setting because its features inherently render it challenging. Through comprehensive empirical studies, I explore the implications of complexity, extremity, and hostility for the operations of international humanitarian organisations (IHOs). The most crucial insights concern how contextual features impact IHOs’ decision space and outcomes. In studying complex emergencies as an exemplar phenomenon that induces complexity because of its politically charged nature, I find that inherent tensions between host government and IHOs interests lead to logistical inefficiencies for IHOs. Host government regulation and enforcement capabilities determine their nature and severity. My exploration of extremity caused by overlapping disasters leads to the curious finding that humanitarian supply networks exhibit resilience to overcome, and benefit from, unprecedented crises. Nonetheless, resilience capabilities and considerations become unsuitable as crises become long-drawn out. To explore the implications of hostility, I study operations in armed conflicts. Results show that when strategizing, the main trade-offs are cross-cutting between Humanitarian Action (HA) principles and OM performance objectives. Interestingly, the same IHO strategy leads to different results across conflicts. Overall, this thesis demonstrates that alternatives to conventional OM strategy and practices are needed in knotty contexts. The findings will be of interest to researchers and practitioners in OM, HA, and crisis management

“The Illusion of Collaboration”: An Integrated Examination of the Antecedents, Processes, and Consequences of Online Group Work

Computer-supported collaborative learning (CSCL) presents postsecondary educators with a conundrum: how to design and support small-group activities without stifling deep and meaningful learning. The literature indicates that students are not consistently practicing higher-order cognitive activities, educators are not reliably designing or facilitating them, and/or researchers are not locating or identifying them where they are occurring. The aim of this dissertation is to explore these deficits by identifying the antecedent conditions that most affect collaboration. Specifically, I answer the question, how do learner’s prior knowledge, characteristics, and experiences manifest in their collaborative processes. Addressing a gap in the literature, this study employs distance ethnography to assess at a fine-grain level the social and cognitive interactions of a trio of collaborators in a natural setting—an object-oriented, small-group project in an online writing course. The results reveal several ways that learner dispositions and prior knowledge manifest as barriers to productive interactions, including tendencies toward indirect and unidirectional communication; siloed workspaces and individual orientations to group assignments; unequal coordination work; and the preservation of individual autonomy to the detriment of group knowledge objects. The study has pedagogical and theoretical implications related to the theory of transactional distance (TTD) and collaborative cognitive load theory (CCLT) and pedagogical and methodological implications for the integration of reflective-practitioner journals