Analyzing and Fixing Cyber Security Threats for Supply Chain Management

Lamba, Anil; Singh, Satinderjeet; Balvinder, Singh; Dutta, Natasha; Rela, Sivakumar

doi:10.2139/ssrn.3492687

Cited by 7 publications

(10 citation statements)

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“…These articles report small numbers of published articles on BD in PSM-related domains. Rozados and Tjahjono (2014), Barbosa et al, (2018), and Chehbi-Gamoura and Derrouiche (2017) did not analyze the content of the publications, while Wang et al, (2016), Lamba and Singh (2017), and Nguyen et al, (2017) studied BD applications in supplier selection, supply spending/sourcing costs, and supply risk management processes. Nguyen et al, (2017) relate BD to levels of analytics and report that BD in the area of PSM is applied using descriptive, predictive, and prescriptive analytics, and Rozados and Tjahjono (2014) list 25 data sources of relevance to PSM.…”

Section: A Closer Look At the Literature Review Papersmentioning

confidence: 99%

“…Facebook, Twitter, discussion forums) [1,6,7,9,14,15,17,23,24,25] Trends, the deviant performance of suppliers, public and private perceptions, scandals, risk and disruption signals Market (e.g. company profiles, market research companies, the stock market, electronic marketplaces, exhibitions) [4,8,9,11,14,15,17,21,20,22] Tax data, competitors, supplier possibilities, economic and market trends, innovations, indicators Media (e.g. news, websites, records, reports) [1,7,9,15,17] Financial news on suppliers or competitors, trends…”

Section: Externalmentioning

confidence: 99%

“…Public official records (e.g. political or economic policies, reports and forecasts, risk indicators) [2,4,6,7,11,22,9] Risk indicators, extreme weather or hazards affecting sites, no-go zones, trade deals, political limitations Third-party sources (e.g. specialized firms, trade journals, consultancies) [8,21] Expert input…”

Section: Externalmentioning

confidence: 99%

“…Purchasing and supply management (PSM)including activities from strategizing for supply, the selection of suppliers, the management of supplier relationships, and ordering and expeditionhas been claimed to have huge potential in benefiting from big data (BD) (Moretto et al, 2017;Nguyen et al, 2017;Lamba and Singh, 2017). In this area, knowledge generation has been suggested to happen by, for example, using BD to evaluate different supply risk scenarios (Lamba and Singh, 2017;Nguyen et al, 2017), improve data-driven projections of demand in order to plan purchases (Sanders, 2014) or to better align internal and external supplier goals and processes in order to improve supply flows (Wang et al, 2016, Srai & Lorentz, 2019.…”

Section: Introductionmentioning

confidence: 99%

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Big data in purchasing and supply management: a research agenda

Arvidsson

Jönsson

Kaipia

2021

IJPM

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is an associate professor at Chalmers university and has a PhD in industrial management and logistics engineering from Lund University. Her research is related to the supply chain collaborations with a large focus on innovation, sustainability, and digitalization. She has insight from the industrial, public and humanitarian sector. She is the author and reviewer of several peer-reviewed scientific publications in scientific purchasing, logistics, and operations management journals.Patrik Jonsson is professor in Operations & Supply Chain Management and the Head of Division at Supply and Operations Management. His research, teaching and outreach activities are in the field of operations and supply chain planning, with a specific interest in the generation of demand and supply coordination in firms and supply chains through data-and technology-enabled operations and planning processes. Patrik has a PhD in production management from Lund University. He is the author and reviewer of many scientific articles and serves as a regional, associate, or board member editor for several high ranked operations SCM journals. D.Sc. (Tech.

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Section: A Closer Look At the Literature Review Papersmentioning

confidence: 99%

Section: Externalmentioning

confidence: 99%

Section: Externalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Big data in purchasing and supply management: a research agenda

Arvidsson

Jönsson

Kaipia

2021

IJPM

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“…Organisations are more focused on boosting the technology investment to protect themselves against external cyberattacks, and not enough emphasis is put on the insider threat aspects (Safa et al 2019). Effective cybersecurity measures cannot be realised when the roles of users are not taken into consideration, as threats and attacks from employees may have a negative impact on the operation of the organisation's computer systems (Lamba et al 2019). Furthermore, Clarke (2018) found that organisations are not putting enough effort towards reducing cybersecurity insider threats to improve their security posture and foster organisational culture change in security behaviour.…”

Section: Introductionmentioning

confidence: 99%

A model to reduce insider cybersecurity threats in a South African telecommunications company

Silaule

Makhubele

Mamorobela

2022

SA Journal of Information Management

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Background: Cybersecurity breaches have become a growing challenge in today’s digital economy. Organisations are faced with the responsibility of protecting their information resources from cybersecurity threats, and insider threats are one of them. Organisations have sophisticated technologies to protect themselves against these attacks, and their employees are often less guarded when it comes to protecting valuable company information systems.Objectives: This research was aimed to develop and conceptualise a model to reduce cybersecurity insider threats in a South African telecommunication organisation.Method: This study was conducted using a survey research approach, where close-ended questionnaires were utilised to collect data from respondents. The collected data was then analysed using IBM Statistical Package for Social Science (SPSS).Results: The findings of the study indicated that personal norms in the domain of cybersecurity have a positive influence on individuals’ attitude towards engaging in cybersecurity misbehaviour, and this has a significant relationship with their reduction of insider threats (RIT).Conclusion: This study suggests that management should give close and thoughtful attention to factors that encourage their employees to engage in cybersecurity misbehaviour. As an efficient and effective approach to mitigate the risk of cybersecurity insider threats, identification and classification of these factors should be followed by proper planning with a goal of reducing their negative effect on employees’ behaviour.

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