Deviations of Governance In IT Multi-Sourcing: A Case Study

IT outsourcing (ITO) refers to the shift of IT/IS activities from internal to external of an organization. In prior research, the governance of ITO is recognized with persistent strategic importance for practice, because it is tightly related to ITO success. Under the rapid transformation of global market, the evolving practice of ITO requires updated knowledge on effective governance. However, research on ITO governance is still under developed due to the lack of integrated theoretical frameworks and the variety of empirical settings besides dyadic client-vendor relationships. Especially, as multi-sourcing has become an increasingly common practice in ITO, its new governance challenges must be attended by both ITO researchers and practitioners. To address this research gap, this study aims to understand multi-sourcing governance with an integrated theoretical framework incorporating both governance structure and governance mechanisms. The focus is on the emerging deviations among formal, perceived and practiced governance. With an interpretive perspective, a single case study is conducted with mixed methods of Social Network Analysis (SNA) and qualitative inquiries. The empirical setting embraces one client firm and its two IT suppliers for IT infrastructure services. The empirical material is analyzed at three levels: within one supplier firm, between the client and one supplier, and among all three firms. Empirical evidences, at all levels, illustrate various deviations in governance mechanisms, with which emerging governance structures are shaped. This dissertation contributes to the understanding of ITO governance in three domains: the governance of ITO in general, the governance of multi-sourcing in particular, and research methodology. For ITO governance in general, this study has identified two research strands of governance structure and governance mechanisms, and integrated both concepts under a unified framework. The composition of four research papers contributes to multi-sourcing research by illustrating the benefits of zooming in and out across the multilateral relationships with different aspects and scopes. Methodologically, the viability and benefit of mixed-method is illustrated and confirmed for both researchers and practitioners.IT-palveluiden ulkoistamisen tarkoituksena on hankkia organisaation tarvitsemat IT-palvelut toiselta organisaatiolta. Hankittavien palveluiden laatu on aiemman tutkimuksen mukaan riippunut siitä, miten palveluiden ulkoistusta on hallittu. Aihepiiristä ei kuitenkaan ole olemassa integroitua tieteellistä viitekehystä. Lisäksi aiempi IT-palveluiden hallintaa käsittelevä empiirinen tutkimus on perehtynyt vain kahdenvälisiin asiakas–tuottaja suhteisiin. Tämän johdosta on tärkeää tutkia lisää IT-palveluiden ulkoistamisen hallintaa yleensä ja erityisesti niissä tilanteissa, joissa IT-palvelut on ulkoistettu useille toimijoille eli kyse on IT-palveluiden moniulkoistamisesta. Tässä tutkimuksessa kehitettiin IT-palveluiden moniulkoistamisen hallintaan soveltuva integroitu, tieteellinen viitekehys, joka sisältää sekä hallinnan rakenteet että hallinnan mekanismit. Työn empiirisessä osassa erityisenä kiinnostuksen kohteena oli se, mitä palvelun hallinnasta oli virallisesti sovittu, kuinka eri osapuolet olettivat hallinnan tapahtuvan, ja miten hallinta käytännössä toteutui. Aihetta tutkittiin tulkitsevan tapaustutkimuksen keinoin yhdistäen puolistrukturoitua haastattelututkimusta ja sosiaalisten verkostojen analyysiä. Tutkimusaineisto kerättiin yhdestä asiakasyrityksestä ja sen kahdesta IT-palveluiden toimittajasta. Aineiston analysointi tehtiin kolmella tasolla: yksittäisen toimittajayrityksen, asiakkaan ja toimittajan välisen suhteen sekä kaikkien toimijoiden välisten suhteiden tasolla. Tutkimuksessa osoitetaan, että aiempi IT-palveluiden ulkoistamisen hallintaa käsittelevä tutkimus on jakautunut kahteen tutkimusalueeseen, joista toinen keskittyy hallinnan mekanismeihin ja toinen hallinnan rakenteisiin. Tutkimuksessa kehitetty IT-palveluiden ulkoistamisen hallinnan uusi viitekehys hyödyntää sekä hallinnan mekanismeihin että hallinnan rakenteisiin liittyviä käsitteitä. Tutkielma osoittaa, että moniulkoistamiseen liittyviä toimijoita kannattaa analysoida sekä itsenäisinä toimijoina että verkoston jäseninä. Tutkimus nostaa myös esille hyötyjä laadullisten ja määrällisten tutkimusmenetelmien yhdistämisestä sekä tieteellisen tutkimuksen tekemisessä että yritysten käytännön kehitystyössä.Siirretty Doriast

Sustainable Supply Chain Management

The book is a collection of studies dedicated to different perspectives of three dimensions or pillars of the sustainability of supply chain and supply chain management - economic, environmental, and social - and other aspects related to performance evaluation, optimization, and modelling of and for sustainable supply chain management, and thus presents another valuable contribution to sustainable development and sustainable way of life

Exploring the link between relationship quality and loyalty: Gaining Insights into Manufacturer-Supplier Relationships

Manufacturers across industry sectors are gradually reducing their supplier base. Consequently, suppliers need an appropriate strategy to ensure preferred supplier status. It is argued, that `softer' - or more intangible - relationship factors potentially have the power to distinguish suppliers. But what are the intangible factors? How does a customer value them? Do they have an impact on the supplier selection process at all? Questions like these describe an area that has become a topic of considerable debate. Surprisingly, the relationship quality idea, although recognised as an important concept, has hardly received any empirical attention. Therefore, the research question of the present PhD project is stated as follows: In commercial customer-supplier relationships, what is relationship quality (RQ) from the customer's standpoint and how does it relate to the customer's loyalty? The researcher explored the question in three German industry sectors: 1) Engineering, 2) Electronics, and 3) Process. Studies concerned with softer aspects of business-to-business relationships as well as research dealing with supplier selection processes are typically based on preconceived views. Condensing the understanding of relationship quality to a narrow and ambiguous definition, however, would simplify a complex issue. This thesis represents the first study that has explored in-depth the relationship quality concept and its influence on the customer's loyalty. The research comprised three stages. The first stage was a telephone survey of German managers involved in supplier management. The aim was to explore key issues of supplier management such as determining the way suppliers are selected and capturing views on supplier relationships. The second stage was concerned with the exploration of the quality of supplier relationships in detail and the case study approach was the chosen research strategy. The researcher conducted plant visits that included analysis of company documents and in-depth interviews. These were guided by the repertory grid technique. It was found that manufacturers rely on three tangible measures alone when selecting suppliers - price, product quality, and delivery performance. Furthermore, manufacturers have a clear view as to what high-quality supplier relationships are made of. The third stage determined the link between the quality of relationships and the manufacturer's loyalty. The researcher employed an experimental research strategy in the form of a conjoint analysis. Participants evaluated suppliers based on the three tangible and a selection of intangible relationship quality criteria. The study uncovered to what extent the softer relationship quality factors come (unconsciously) into play in the process of selecting long-term supplier relationships

Bioenergy production and sustainable development: science base for policymaking remains limited

The possibility of using bioenergy as a climate change mitigation measure has sparked a discussion of whether and how bioenergy production contributes to sustainable development. We undertook a systematic review of the scientific literature to illuminate this relationship and found a limited scientific basis for policymaking. Our results indicate that knowledge on the sustainable development impacts of bioenergy production is concentrated in a few well-studied countries, focuses on environmental and economic impacts, and mostly relates to dedicated agricultural biomass plantations. The scope and methodological approaches in studies differ widely and only a small share of the studies sufficiently reports on context and/or baseline conditions, which makes it difficult to get a general understanding of the attribution of impacts. Nevertheless, we identified regional patterns of positive or negative impacts for all categories – environmental, economic, institutional, social and technological. In general, economic and technological impacts were more frequently reported as positive, while social and environmental impacts were more frequently reported as negative (with the exception of impacts on direct substitution of GHG emission from fossil fuel). More focused and transparent research is needed to validate these patterns and develop a strong science underpinning for establishing policies and governance agreements that prevent/mitigate negative and promote positive impacts from bioenergy production

Bioenergy production and sustainable development: Science base for policymaking remains limited

The possibility of using bioenergy as a climate change mitigation measure has sparked a discussion of whether and how bioenergy production contributes to sustainable development. We undertook a systematic review of the scientific literature to illuminate this relationship and found a limited scientific basis for policymaking. Our results indicate that knowledge on the sustainable development impacts of bioenergy production is concentrated in a few well‐studied countries, focuses on environmental and economic impacts, and mostly relates to dedicated agricultural biomass plantations. The scope and methodological approaches in studies differ widely and only a small share of the studies sufficiently reports on context and/or baseline conditions, which makes it difficult to get a general understanding of the attribution of impacts. Nevertheless, we identified regional patterns of positive or negative impacts for all categories – environmental, economic, institutional, social and technological. In general, economic and technological impacts were more frequently reported as positive, while social and environmental impacts were more frequently reported as negative (with the exception of impacts on direct substitution of GHG emission from fossil fuel). More focused and transparent research is needed to validate these patterns and develop a strong science underpinning for establishing policies and governance agreements that prevent/mitigate negative and promote positive impacts from bioenergy production

A Comprehensive Survey on Enterprise Financial Risk Analysis: Problems, Methods, Spotlights and Applications

Enterprise financial risk analysis aims at predicting the enterprises' future financial risk.Due to the wide application, enterprise financial risk analysis has always been a core research issue in finance. Although there are already some valuable and impressive surveys on risk management, these surveys introduce approaches in a relatively isolated way and lack the recent advances in enterprise financial risk analysis. Due to the rapid expansion of the enterprise financial risk analysis, especially from the computer science and big data perspective, it is both necessary and challenging to comprehensively review the relevant studies. This survey attempts to connect and systematize the existing enterprise financial risk researches, as well as to summarize and interpret the mechanisms and the strategies of enterprise financial risk analysis in a comprehensive way, which may help readers have a better understanding of the current research status and ideas. This paper provides a systematic literature review of over 300 articles published on enterprise risk analysis modelling over a 50-year period, 1968 to 2022. We first introduce the formal definition of enterprise risk as well as the related concepts. Then, we categorized the representative works in terms of risk type and summarized the three aspects of risk analysis. Finally, we compared the analysis methods used to model the enterprise financial risk. Our goal is to clarify current cutting-edge research and its possible future directions to model enterprise risk, aiming to fully understand the mechanisms of enterprise risk communication and influence and its application on corporate governance, financial institution and government regulation

ERP implementation methodologies and frameworks: a literature review

Enterprise Resource Planning (ERP) implementation is a complex and vibrant process, one that involves a combination of technological and organizational interactions. Often an ERP implementation project is the single largest IT project that an organization has ever launched and requires a mutual fit of system and organization. Also the concept of an ERP implementation supporting business processes across many different departments is not a generic, rigid and uniform concept and depends on variety of factors. As a result, the issues addressing the ERP implementation process have been one of the major concerns in industry. Therefore ERP implementation receives attention from practitioners and scholars and both, business as well as academic literature is abundant and not always very conclusive or coherent. However, research on ERP systems so far has been mainly focused on diffusion, use and impact issues. Less attention has been given to the methods used during the configuration and the implementation of ERP systems, even though they are commonly used in practice, they still remain largely unexplored and undocumented in Information Systems research. So, the academic relevance of this research is the contribution to the existing body of scientific knowledge. An annotated brief literature review is done in order to evaluate the current state of the existing academic literature. The purpose is to present a systematic overview of relevant ERP implementation methodologies and frameworks as a desire for achieving a better taxonomy of ERP implementation methodologies. This paper is useful to researchers who are interested in ERP implementation methodologies and frameworks. Results will serve as an input for a classification of the existing ERP implementation methodologies and frameworks. Also, this paper aims also at the professional ERP community involved in the process of ERP implementation by promoting a better understanding of ERP implementation methodologies and frameworks, its variety and history

A Study of Sustainability in the Oil and Gas Supply Chain

There is a general consensus that human activity has significant impact on global climate change with significant consequences to the environment. Although there has been relatively limited research on the relationship between corporate environmental performance and corporate financial performance, empirical of the relationship between proactive corporate climate change strategies and economic performance is still in need of clear delineation. It is in light of this hat this research examines the impacts of sustainability adoption on competitive performance of oil and gas companies. The research explores the notion of market driven sustainability by establishing an empirical link between sustainable supply chains characteristics and organisational competitiveness. The overall aim is to develop an empirical model of sustainable supply chain characteristics that improves resource utilisation, profit maximization and competitiveness in the oil and gas industry. The research reviews existing literature on supply chain management, sustainability and competitive objectives in order to generate an appropriate and adequate context for relevant analytical investigations. Primary data on sustainability and its impacts on organisational performance were collected from UK and gas industry through survey by questionnaire. The results show that the most significant drivers of sustainability are the desire to conserve energy, increase market share and improve competiveness. However, legal and regulatory pressure, in contrast to common perspectives in the literature, was not seen as strong drivers of sustainability. The most significant inhibitors of sustainability are inappropriate infrastructural facilities, higher take-up costs, shortage of information on sustainability and employees lack of environmental awareness. The results further indicate that, though sustainability strategies implemented by the respondent firms varied in scopes, these strategies were being extensively and successfully implemented. Generally, the adoption of sustainability in oil and gas supply chain leads to improved economic performance and environmental performance, which, in turn, positively impact organisational competitiveness. These results are of particular importance to managers, government policy makers environmentalists and researchers

Analysis of Decision Support Systems of Industrial Relevance: Application Potential of Fuzzy and Grey Set Theories

The present work articulates few case empirical studies on decision making in industrial context. Development of variety of Decision Support System (DSS) under uncertainty and vague information is attempted herein. The study emphases on five important decision making domains where effective decision making may surely enhance overall performance of the organization. The focused territories of this work are i) robot selection, ii) g-resilient supplier selection, iii) third party logistics (3PL) service provider selection, iv) assessment of supply chain’s g-resilient index and v) risk assessment in e-commerce exercises. Firstly, decision support systems in relation to robot selection are conceptualized through adaptation to fuzzy set theory in integration with TODIM and PROMETHEE approach, Grey set theory is also found useful in this regard; and is combined with TODIM approach to identify the best robot alternative. In this work, an attempt is also made to tackle subjective (qualitative) and objective (quantitative) evaluation information simultaneously, towards effective decision making. Supplier selection is a key strategic concern for the large-scale organizations. In view of this, a novel decision support framework is proposed to address g-resilient (green and resilient) supplier selection issues. Green capability of suppliers’ ensures the pollution free operation; while, resiliency deals with unexpected system disruptions. A comparative analysis of the results is also carried out by applying well-known decision making approaches like Fuzzy- TOPSIS and Fuzzy-VIKOR. In relation to 3PL service provider selection, this dissertation proposes a novel ‘Dominance- Based’ model in combination with grey set theory to deal with 3PL provider selection, considering linguistic preferences of the Decision-Makers (DMs). An empirical case study is articulated to demonstrate application potential of the proposed model. The results, obtained thereof, have been compared to that of grey-TOPSIS approach. Another part of this dissertation is to provide an integrated framework in order to assess gresilient (ecosilient) performance of the supply chain of a case automotive company. The overall g-resilient supply chain performance is determined by computing a unique ecosilient (g-resilient) index. The concepts of Fuzzy Performance Importance Index (FPII) along with Degree of Similarity (DOS) (obtained from fuzzy set theory) are applied to rank different gresilient criteria in accordance to their current status of performance. The study is further extended to analyze, and thereby, to mitigate various risk factors (risk sources) involved in e-commerce exercises. A total forty eight major e-commerce risks are recognized and evaluated in a decision making perspective by utilizing the knowledge acquired from the fuzzy set theory. Risk is evaluated as a product of two risk quantifying parameters viz. (i) Likelihood of occurrence and, (ii) Impact. Aforesaid two risk quantifying parameters are assessed in a subjective manner (linguistic human judgment), rather than exploring probabilistic approach of risk analysis. The ‘crisp risk extent’ corresponding to various risk factors are figured out through the proposed fuzzy risk analysis approach. The risk factor possessing high ‘crisp risk extent’ score is said be more critical for the current problem context (toward e-commerce success). Risks are now categorized into different levels of severity (adverse consequences) (i.e. negligible, minor, marginal, critical and catastrophic). Amongst forty eight risk sources, top five risk sources which are supposed to adversely affect the company’s e-commerce performance are recognized through such categorization. The overall risk extent is determined by aggregating individual risks (under ‘critical’ level of severity) using Fuzzy Inference System (FIS). Interpretive Structural Modeling (ISM) is then used to obtain structural relationship amongst aforementioned five risk sources. An appropriate action requirement plan is also suggested, to control and minimize risks associated with e-commerce exercises