Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Big data and risk management in business processes: implications for corporate real estate

Big data and risk management in business processes: implications for corporate real estate The purpose of this paper is to improve understanding of the integration between big data (BD) and risk management (RM) in business processes (BPs), with special reference to corporate real estate (CRE).Design/methodology/approachThis conceptual study follows, methodologically, the structuring inter-textual coherence process – specifically, the synthesised coherence tactical approach. It draws heavily on theoretical evidence published, mainly, in the corporate finance and the business management literature.FindingsA new conceptual framework is presented for CRE to proactively develop insights into the potential benefits of using BD as a business strategy/instrument. The approach was found to strengthen decision-making processes and encourage better RM – with significant consequences, in particular, for business process management (BPM). Specifically, by recognising the potential uses of BD, it is also possible to redefine the processes with advantages in terms of RM.Originality/valueThis study contributes to the literature in the fields of real estate, RM, BPM and digital transformation. To the best knowledge of authors, although the literature has examined the concepts of BD, RM and BP, no prior studies have comprehensively examined these three elements and their conjoint contribution to CRE. In particular, the study highlights how the automation of data-intensive activities and the analysis of such data (in both structured and unstructured forms), as a means of supporting decision making, can lead to better efficiency in RM and optimisation of processes. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Business Process Management Journal Emerald Publishing

Big data and risk management in business processes: implications for corporate real estate

Download PDF
15 pages

Loading next page...
 
/lp/emerald-publishing/big-data-and-risk-management-in-business-processes-implications-for-b4juMH74N5
Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1463-7154
DOI
10.1108/bpmj-03-2019-0125
Publisher site
See Article on Publisher Site

Abstract

The purpose of this paper is to improve understanding of the integration between big data (BD) and risk management (RM) in business processes (BPs), with special reference to corporate real estate (CRE).Design/methodology/approachThis conceptual study follows, methodologically, the structuring inter-textual coherence process – specifically, the synthesised coherence tactical approach. It draws heavily on theoretical evidence published, mainly, in the corporate finance and the business management literature.FindingsA new conceptual framework is presented for CRE to proactively develop insights into the potential benefits of using BD as a business strategy/instrument. The approach was found to strengthen decision-making processes and encourage better RM – with significant consequences, in particular, for business process management (BPM). Specifically, by recognising the potential uses of BD, it is also possible to redefine the processes with advantages in terms of RM.Originality/valueThis study contributes to the literature in the fields of real estate, RM, BPM and digital transformation. To the best knowledge of authors, although the literature has examined the concepts of BD, RM and BP, no prior studies have comprehensively examined these three elements and their conjoint contribution to CRE. In particular, the study highlights how the automation of data-intensive activities and the analysis of such data (in both structured and unstructured forms), as a means of supporting decision making, can lead to better efficiency in RM and optimisation of processes.

Journal

Business Process Management Journal – Emerald Publishing

Published: Sep 6, 2019

Keywords: Business process; Risk management; Business process management; Big data; Corporate real estate; Digital transformation

References

  • Improving risk management: moving from risk elimination to risk avoidance
    Adler, T.R.; Leonard, J.G.; Nordgren, R.K.
  • Generating research questions through problematization
    Alvesson, M.; Sandberg, J.
  • A bibliometric analysis of research on Big Data analytics for business and management
    Ardito, L.; Scuotto, V.; Del Giudice, M.; Messeni Petruzzelli, A.
  • Effective public speaking: a conceptual framework in the corporate-communication field
    Baccarani, C.; Bonfanti, A.
  • Corporate real estate risks: a survey on risk perception amongst corporate real estate practitioners
    Bartelink, R.; Appel-Meulenbroek, R.; van den Berg, P.; Gehner, E.
  • Value creation, innovation practice, and competitive advantage: evidence from the FTSE MIB index
    Battisti, E.; Miglietta, N.; Nirino, N.; Villasalero Diaz, M.
  • Open, networked and dynamic innovation in the food and beverage industry
    Bresciani, S.
  • The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects
    Bresciani, S.; Ferraris, A.; Del Giudice, M.
  • The effects of technological innovation on the banking sector
    Campanella, F.; Della Peruta, M.R.; Del Giudice, M.
  • Knowledge management and value creation in the post-crisis banking system
    Campanella, F.; Derhy, A.; Gangi, F.
  • Disruptive technological change within knowledge-driven economies: the future of the Internet of Things (IoT)
    Carayannis, E.G.; Del Giudice, M.; Soto-Acosta, P.
  • Risk management in corporate real estate within the global banking and financing sector
  • Business intelligence and analytics: from big data to big impact
    Chen, H.; Chiang, R.H.L.; Storey, V.C.
  • Big data: a survey
    Chen, M.; Mao, S.; Liu, Y.
  • Using scenario analysis to manage the strategic risks of reengineering’
    Clemons, E.
  • A formal definition of big data based on its essential features
    De Mauro, A.; Greco, M.; Grimaldi, M.
  • Discovering the Internet of Things (IoT) within the business process management: a literature review on technological revitalization
    Del Giudice, M.
  • Emerging perspectives on business process management (BPM): IT-based processes and ambidextrous organizations, theory and practice
    Del Giudice, M.; Soto-Acosta, P.; Carayannis, E.; Scuotto, V.
  • ‘The origin(s) and development of ‘big data’: the phenomenon, the term, and the discipline
    Diebold, F.X.
  • Big Data analytics capabilities and knowledge management: impact on firm performance
    Ferraris, A.; Mazzoleni, A.; Devalle, A.; Couturier, J.
  • Business model configuration and dynamics for technology commercialization in mature markets
    Flammini, S.; Arcese, G.; Lucchetti, M.C.; Mortara, L.
  • Big data and risk management
    Frankel, D.A.
  • Improving the use of analytics and big data by changing the decision-making culture: a design approach
    Frisk, J.E.; Bannister, F.
  • Beyond the hype: big concepts, methods, and analytics
    Gandomi, A.; Haider, M.
  • Risk management and the corporate real estate portfolio
    Gibson, V.A.; Louargand, M.
  • The implementation of business process reengineering’
    Grover, V.; Jeong, S.; Kettinger, W.; Teng, J.
  • Mitigation, avoidance, or acceptance? Managing supplier sustainability risk
    Hajmohammad, S.; Vachon, S.
  • The rise of ‘big data’ on cloud computing: review and open research issues
    Hashem, I.A.T.; Yaqoob, I.; Anuar, N.B.; Mokhtar, S.; Gani, A.; Khan, S.U.
  • Corporate real estate risk management and assessment
    Huffman, F.E.
  • Information and reformation in KM systems: big data and strategic decision-making
    Intezari, A.; Gressel, S.
  • Significance and challenges of big data research
    Jin, X.; Wah, B.; Cheng, X.; Wang, Y.
  • Real estate finance and investments: risks and opportunities
    Joseph, T.L.O.
  • Identification of changed paradigms in CRE research – a systematic literature review 2005-2015
    Jylhä, T.; Remøy, H.; Arkesteijn, M.
  • A classification of risks in real estate development business
    Khumpaisal, S.
  • Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier
    Kumar, P.; Lokesh, S.; Varatharajan, R.; Babu, G.C.; Parthasarathy, P.
  • 3D data management: controlling data volume, velocity, and variety
    Laney, D.
  • Value-based process project portfolio manageent: integrated planning of BPM capability development and process improvement
    Lehnert, M.; Linhart, A.; Röglinger, M.
  • Constructing opportunities for contribution: structuring intertextual coherence and ‘problematizing’ in organizational studies
    Locke, K.; Golden-Biddle, K.
  • Cognitive big data: survey and review on big data research and its implications. What is really ‘new’ in big data?
    Lugmayr, A.; Stockleben, B.; Scheib, C.; Mailaparampil, M.A.
  • Big data: the management revolution
    McAfee, A.; Brynjolfsson, E.
  • From databases to big data
    Madden, S.
  • Understanding business model in the Internet of Things industry
    Metallo, C.; Agrifoglio, R.; Schiavone, F.; Mueller, J.
  • Value maximization and open innovation in food and beverage industry: evidence from US market
    Miglietta, N.; Battisti, E.; Campanella, F.
  • Capital structure and business process management: evidence from ambidextrous organizations
    Miglietta, N.; Battisti, E.; Carayannis, E.; Salvi, A.
  • Big data: prospects and challenges
    Moorthy, J.; Lahiri, R.; Biswas, N.; Sanyal, D.; Ranjan, J.; Nanath, K.; Ghosh, P.
  • Corporate real estate and sustainable competitive advantage
    Park, A.; Glascock, J.
  • Risk analysis and risk management
    Peltier, T.R.
  • Bridging the gap. How the real estate sector can engage with PropTech to bring the built and digital environments together
    Pyle, A.; Grunewald, D.; Wright, N.
  • Intra-firm decision-maker perceptions of relocation risks
    Rasila, H.M.; Nenonen, S.
  • Big data systems: knowledge transfer or intelligence insights?
    Rothberg, H.L.; Scott Erickson, G.
  • Ways of constructing research questions: gap-spotting or problematization?
    Sandberg, J.; Alvesson, M.
  • The Internet of Things: building a knowledge management system for open innovation and knowledge management capacity
    Santoro, G.; Vrontis, D.; Thrassou, A.; Dezi, L.
  • Causation and effectuation: toward a theoretical shift from economic inevitability to entrepreneurial contingency
    Sarasvathy, S.D.
  • Analytics: the real-world use of big data
    Schroeck, M.; Shockley, R.; Smart, J.; Romero-Morales, D.; Tufano, P.
  • Internet of Things: applications and challenges in smart cities: a case study of IBM smart city projects
    Scuotto, V.; Ferraris, A.; Bresciani, S.
  • Shifting intra-and inter-organizational innovation processes towards digital business: an empirical analysis of SMEs
    Scuotto, V.; Santoro, G.; Bresciani, S.; Del Giudice, M.
  • Branding destination image: a stakeholder causal scope analysis for internationalisation of destinations
    Shams, S.M.R.
  • Capacity building for sustained competitive advantage: a conceptual framework
    Shams, S.M.R.
  • Platform real estate: theory and practice of new urban real estate markets
    Shaw, J.
  • Towards a framework for integrating risk and business process management
    Sienou, A.; Karduck, A.; Pingaud, H.
  • Current research in risk-aware business process management: overview, comparison, and gap analysis
    Suriadi, S.; Weiß, B.; Winkelmann, A.; ter Hofstede, A.H.M.; Adams, M.; Conforti, R.; Fidge, C.; La Rosa, M.; Ouyang, C.; Pika, A.; Rosemann, M.; Wynn, M.
  • Role of financial services and real estate management – towards a new value chain: exploratory research findings
    Tardivo, G.; Battisti, E.; Riorda, M.
  • Risk of an epidemic impact when adopting the Internet of Things
    Trequattrini, R.; Shams, R.; Lardo, A.; Lombardi, R.
  • From precision agriculture to Industry 4.0: unveiling technological connections in the agrifood sector
    Trivelli, L.; Apicella, A.; Chiarello, F.; Rana, R.; Fantoni, G.; Tarabella, A.
  • How the Internet of Things can help knowledge management: a case study from the automotive domain
    Uden, L.; He, W.
  • Applying big data to risk management: transforming risk management practices within the financial services industry
    Veldhoen, A.; De Pris, S.
  • Towards a process to guide big data based decision support systems for business processes
    Vera-Baquero, A.; Colomo-Palacios, R.; Owen Molloy, O.
  • Big data integration with business processes: a literature review
    Wamba, S.F.; Mishra, D.
  • How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study
    Wamba, S.F.; Akter, S.; Edwards, A.; Chopin, G.; Gnanzou, D.
  • Big data analytics and firm performance: effects of dynamic capabilities
    Wamba, S.F.; Gunasekaran, A.; Akter, S.; Ren, S.J.F.; Dubey, R.; Childe, S.J.
  • Digital workplaces: vision and reality
    White, M.
  • What to do next? The case for non-predictive strategy
    Wiltbank, R.; Dew, N.; Read, S.; Sarasvathy, S.D.