Study of Factors Influencing Digital Transformation Process in Bangkok

Sumas Wongsunopparat, Thusitha De Silva
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Abstract

Most digital transformations fail. Various studies from academics, consultants, and analysts indicate that the rate of digital transformations failing to meet their original objectives ranges from 70% to 95%, with an average at 87.5%. Yet, digital transformation has been at the top of corporate agendas for at least a decade and shows no sign of slowing down. On the contrary, many commentators have highlighted the accelerating impact of the Covid-19 period on digital transformation. Digital transformation is something no management team should attempt alone. It takes deep into reality and a sense of ownership among people across the enterprise to make transformation a reality.The purpose of this research is to study factors influencing digital transformation process in Bangkok, Thailand. These factors include seven first-order independent variables: Leadership (LD), Employee (EP), Culture (CT), Work Environment (WE), Mindset (MS), Organizational Friction (OF), Management of Transformation (MT), and Talent Acquisition (TA); three second-order variables: Leadership & Motivation (LDM), People (PPL), and Workplace Culture (WPC) and one dependent variable: Digital Transformation (DT). 400 sample were collected using electronic questionnaire through social media. We used Structural Equation Models (SEM) for data analysis. The result shows that since the RMSEA, which is an absolute fit index that assesses how far our hypothesized model is from a perfect model, for this model is .04 (<.05) which strongly indicates a “close fit” and the Goodness of Fit Index (GFI) value is .902 (>.90), the model seems to fit well according to the descriptive measures of fit. Moreover, CFI, which is incremental fit indices that compare the fit of our hypothesized model with that of a baseline model (i.e., a model with the worst fit), its value equals .903 indicating an acceptable fit.More importantly, Talent Acquisition (TA), Leadership & Motivation (LDM), and Workplace Culture (WPC) seem to have significant effects on Digital Transformation (DT) process due to their p-values are all less than .05. That means if corporates focus more on acquiring new talent and at the same time improve corporate leadership and motivation and workplace culture, they will be more likely to be successful in digital transformation which is necessary condition for all organizations to be competitively sustainable going forward.
曼谷数字化转型进程的影响因素研究
大多数数字化转型都失败了。来自学者、顾问和分析师的各种研究表明,数字化转型未能实现其最初目标的比率从70%到95%不等,平均为87.5%。 然而,数字化转型已经成为企业议程的重中之重至少有十年了,而且没有任何放缓的迹象。相反,许多评论人士强调,新冠肺炎疫情对数字化转型的影响正在加速。任何管理团队都不应该单独尝试数字化转型。要使转换成为现实,需要深入到现实中,并在整个企业的人员中产生一种所有权意识。本研究的目的是研究影响泰国曼谷数字化转型过程的因素。这些因素包括七个一阶自变量:领导力(LD)、员工(EP)、文化(CT)、工作环境(WE)、心态(MS)、组织摩擦(OF)、转型管理(MT)和人才获取(TA);三个二阶变量:领导力与激励(LDM)、人(PPL)和工作场所文化(WPC),以及一个因变量:数字化转型(DT)。通过社交媒体进行电子问卷调查,共收集400份样本。我们使用结构方程模型(SEM)进行数据分析。结果表明,由于RMSEA是评估我们的假设模型与完美模型之间距离的绝对拟合指数,对于该模型来说,RMSEA为0.04(0.90),根据拟合的描述性度量,该模型似乎拟合得很好。此外,CFI是比较我们假设模型与基线模型(即最糟糕的模型)的拟合的增量拟合指标,其值为0.903,表示可接受的拟合。更重要的是,人才获取(TA)、领导力与激励(LDM)和工作场所文化(WPC)似乎对数字化转型(DT)过程有显著影响,因为它们的p值都小于0.05。这意味着,如果企业更多地关注获取新人才,同时改善企业领导力、激励和工作场所文化,他们将更有可能在数字化转型中取得成功,这是所有组织保持竞争力和可持续发展的必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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