Seddigh Mohammad Reza, Shokouhyar Sajjad, Loghmani Fatemeh
Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran.
Ann Oper Res. 2023;324(1-2):937-970. doi: 10.1007/s10479-021-04509-y. Epub 2022 Jan 5.
These two main objectives of this study are to present a theoretical model to explain how business intelligence capabilities influence the company's supply chain sustainability and to examine the relationships among different BI and CSCS dimensions. This study was conducted with the use of a standard BI questionnaire along with the United Nations CSCS questionnaire among 234 Iranian pharmaceutical companies, from which 188 were also surveyed. Smart pls3 and partial least squares methods were used for validity as well as reliability evaluation of the measurement model. According to the findings, BI significantly affects the sustainability of the pharmaceutical supply chain and some of its dimensions, including vision, scope, and internal aspects, thereby the hypothesis indicating the effect of BI on these dimensions was accepted. However, there was an insignificantly positive relationship between BI and the other dimensions of CSCS, including expectation, engagement, and goals; hence, the hypothesis indicating the effect of BI on these dimensions was rejected. If the policy of the board is to implement supply chain sustainability, BI can have a greater impact on the company. Otherwise, BI may be implemented with not much effect though it can be indirectly beneficial to these companies. No studies have been performed on direct examination of the relationship of BI and CSCS and their various dimensions with the use of an extensive survey among Iran's pharmaceutical companies. Also, this study reveals some facts about the sustainability of the pharmaceutical supply chain, BI, and relevant issues as significant obstacles against a sustainable supply chain and BI. This article also supports the UN questionnaire on supply chain sustainability and adopts it in the surveys. Furthermore, various social networks such as Facebook, Twitter, and Instagram were compared, and it was concluded that the data required for the pharmaceutical industry was more accessible from Twitter, in comparison to the other social networks.
本研究的这两个主要目标是提出一个理论模型，以解释商业智能能力如何影响公司的供应链可持续性，并检验不同商业智能和供应链可持续性综合评价体系维度之间的关系。本研究通过使用标准的商业智能问卷以及联合国供应链可持续性综合评价体系问卷，对234家伊朗制药公司进行了调查，其中188家公司也参与了调查。使用Smart pls3和偏最小二乘法对测量模型进行有效性和可靠性评估。根据研究结果，商业智能对制药供应链的可持续性及其一些维度，包括愿景、范围和内部方面，有显著影响，因此表明商业智能对这些维度有影响的假设被接受。然而，商业智能与供应链可持续性综合评价体系的其他维度，包括期望、参与度和目标之间存在不显著的正相关关系；因此，表明商业智能对这些维度有影响的假设被拒绝。如果董事会的政策是实施供应链可持续性，商业智能可以对公司产生更大的影响。否则，商业智能可能虽然实施了但效果不大，尽管它可能对这些公司有间接益处。此前没有研究通过对伊朗制药公司进行广泛调查来直接检验商业智能与供应链可持续性综合评价体系及其各个维度之间的关系。此外，本研究揭示了一些关于制药供应链可持续性、商业智能以及作为可持续供应链和商业智能重大障碍的相关问题的事实。本文还支持联合国关于供应链可持续性的问卷，并在调查中采用。此外，对脸书、推特和照片墙等各种社交网络进行了比较，得出的结论是，与其他社交网络相比，制药行业所需的数据从推特上更容易获取。
