Data as a production factor
(2022)
Big Data has been among the most innovative topics in literature sources and among organizations for years. Even though only few organizations realized the significant value potentials described by contemporary literature sources, it is widely acknowledged that data assets can provide significant competitive benefits. Given the promises regarding value increases and competitiveness, practitioners as well as academia desire systematic approaches to transform the data sets into measurable assets. This dissertation investigates the current state of literature, conducts an empirical investigation through a structural equation modeling and applies existing theory to develop a model that allows organizations to apply a systematic approach to measure the value of Big Data specifically to their organization. With Business Process Management as the foundation of the model, IT as well as business functions will be able to successfully apply the model. Based on the assumption that Data is acknowledged as a production factor, the developed model supports organizations to justify Big Data investment decisions and thereby to contribute to competitiveness and company value. Furthermore, the findings and the model equip future researchers with a framework that can be adapted for industry-specific purposes, validated in different organizational contexts or dismantled to investigate specific success factors.
Since people started trading, transportation has played a crucial role in economic activities. The reason for the importance of transportation is simple: goods are seldomly produced at the same place where the demand for them arises and transportation is needed to match supply with demand. Therefore, almost every company that sells goods will require transportation at least for some part of its business.
Technology-based transformation in automotive supply chain : role of organizational development
(2021)
Innovation, digitalization, technology disruption, fast to market are commonly used terms in the technology industry. However, in today’s world, these terms are used to define the state of art of the automotive industry. The onset of innovative vehicle models and the technology-driven vehicle manufacturing in the automotive industry offers many opportunities and an equivalent amount of challenges. Therefore, how an organization reacts to the ongoing technology discontinuities and how an organization transforms its business model to adapt to the changes to sustain in the industry are becoming significant factors in evaluating its strategic value and determining its success. This doctoral research titled ‘Technology-Based Transformation in Automotive Supply Chain – Role of Organizational Development aims to investigate the critical factors of technology-based transformation in the automotive industry using the automotive supply chain as the research set-up to demonstrate the ongoing transformation. This doctoral research further strives to conceptualize an organizational development framework that seamlessly enables organizations to manage technology-based transformation.
Supply Chain Due Diligence (SCDD) is conducted by companies to minimise or even eliminate risks of being iolved directly or indirectly in human rights violations. It is part of Human Rights Due Diligence (HRDD) requirement. Through their suppliers companies may be exposed to irresponsible business practices. Considering this, companies should be able to systematically formulate concise demand from their suppliers that they practice responsible business practices which respect human rights. Supplier Relationship Management (SRM) as management tool commonly assist companies to direct suppliers methodically in achieving their financial goals. This research attempts to repurpose SRM concepts to enable companies to conduct SCDD methodically. Defining human rights requirements into practical supplier’s evaluation system is a challenging task. Possible criteria and their indicators are discussed. The structure and processes to implement SRM framework for SCDD purposes are also described. Keywords Supply chain due diligence, human rights due diligence, supplier relationship management, business ethics, responsible procurement, supplier classification