A conceptual framework of corporate and business ethics across organizations

Purpose – The objective of this paper is to introduce and describe a conceptual framework of corporate and business ethics across organizations in terms of ethical structures, ethical processes and ethical performance.

Design/methodology/approach – A framework is outlined and positioned incorporating an ethical frame of reference in the field of organizational chain management.

Findings – A number of areas and sub-areas of corporate and business ethics are framed in the context across organizations.

Research limitations/implications – The introduced framework should be seen as a seed for further development and refinement. It provides opportunities for further research of ethical concerns across organizations.

Practical implications – Organizations may benefit from the findings and insights presented and they may be used to enhance their ability to manage, monitor and evaluate ethical business practices across organizations.

Social implications – Changing societal and market patterns may enforce organizations to address ethical concerns across organizations. A myopic approach restricted to the judicial system may become insufficient and unsatisfactory from the perspective of other stakeholders of the organization.

Originality/value – The framework makes a contribution bringing in ethical concerns across organizations, providing a basis for their ethical values and culture, as well as asymmetric relationships in terms of power and dependence. The authors believe that a true learning organization needs to realise the importance of an extended view of its endeavors of corporate and business ethics in terms of ethical structures, ethical processes and ethical performance across organizations.

A hermeneutic phenomenological investigation of business and IT alignment

The maximum potential potential alignment between business and IT is constrained by the mutually interacting factors of communications, shared understanding, trust, use of an appropriately scaled project and risk management methodology, distributed business ownership of all its processes and a pervasive IT ownership of every technology-enables business process.

Business analytics and competitive advantage : a review and a research agenda

Business analytics has the potential to deliver performance gains and competitive advantage. However, a theoretically grounded model identifying the factors and processes involved in realizing those performance gains has not been clearly articulated in the literature. This paper draws on the literature on dynamic capabilities to develop such a theoretical framework. It identifies the critical roles of organizational routines and organization-wide capabilities for identifying, resourcing and implementing business analytics-based competitive actions in delivering performance gains and competitive advantage. A theoretical framework and propositions for future research are developed.

Growing up : risky business?

Young people today increasingly cause adults anxiety. This anxiety translates into a raft of interventions and strategies and programs that target young people. These imaginings reflect and constitute a range of anxieties about the dangers posed by some young people, or to some young people, and how these risks might be economically and prudently managed. These processes can have a range of often negative consequences (intended or otherwise) for individuals and populations of young people. I argue that Foucault's work on disciplinary, sovereign and governmental forms of power provides a generative framework for analysing why growing up is often seen to be a risky business for contemporary populations of young people.

Data quality management in a business intelligence environment : from the lens of metadata

Business Intelligence is becoming more pervasive in many large and medium-sized organisations. Being a long term undertaking Business Intelligence raises many issues that an organisation has to deal with in order to improve its decision making processes. Data quality is one of the main issues exposed by Business Intelligence. Within the organisation data quality can affect attitudes to Business Intelligence itself, especially from the business users group. Comprehensive management of data quality is a crucial part of any Business Intelligence endeavour. It is important to address all types of data quality issues and come up with an all-in-one solution. We believe that extensive metadata infrastructure is the primary technical solution for management of data quality in Business Intelligence. Moreover, metadata has a more broad application for improving the Business Intelligence environment. Upon identifying the sources of data quality issues in Business Intelligence we propose a concept of data quality management by means of metadata framework and discuss the recommended solution.

Helping university students to 'read' scholarly journal articles : the benefits of a structured and collaborative approach

Academics often treat students’ discipline-specific literacy as unproblematic. In doing so they may underestimate the difficulties for university students as they move between subjects of study that may involve different disciplines, language genres and academic practices. This paper describes an initiative aimed at supporting students in reading academic articles in preparation for completing an essay for an assessment task. This initiative involved a structured and collaborative two-week tutorial exercise that provided students with practice in using a framework to extract the main ideas from academic readings. Students were surveyed after this exercise, and their reflections of its value are described in this paper. The findings of this study will inform further stages of the project which aim to develop and investigate practical ways to develop student’s academic literacy across several business disciplines.

Ordinal Boltzmann machines for collaborative filtering

Collaborative filtering is an effective recommendation technique wherein the preference of an individual can potentially be predicted based on preferences of other members. Early algorithms often relied on the strong locality in the preference data, that is, it is enough to predict preference of a user on a particular item based on a small subset of other users with similar tastes or of other items with similar properties. More recently, dimensionality reduction techniques have proved to be equally competitive, and these are based on the co-occurrence patterns rather than locality. This paper explores and extends a probabilistic model known as Boltzmann Machine for collaborative filtering tasks. It seamlessly integrates both the similarity and cooccurrence in a principled manner. In particular, we study parameterisation options to deal with the ordinal nature of the preferences, and propose a joint modelling of both the user-based and item-based processes. Experiments on moderate and large-scale movie recommendation show that our framework rivals existing well-known methods.

Problematizing 'risk' and the principalship : the risky business of managing risk in schools

Over the past two decades, risk in education has stimulated increasing attention and prominence, with principals bearing responsibility and liability for ‘managing’ risk in schools. As a consequence, compulsory risk compliance régimes have become increasingly complex, technical and time-consuming. This article focuses on the responses of principals to issues surrounding ‘risk’ and suggests that some risk processes themselves may be inherently risky. Principals fear that risk management régimes can incur professional and personal danger while ignoring some commonly known, politically sensitive, ‘risky’ areas. The article considers the scope of risk in schools before turning to ‘undiscussables’: how risk management puts principals at risk, and issues surrounding leaders as risk. Principals’ concerns about marginalization from systemic risk decision-making, the individuation of risk management responsibility and suggestions for action are discussed, along with areas for future research.

Commitment to business ethics in UK organizations

Purpose – The purpose of this research is to determine the commitment to business ethics in UK corporations. This study reports on the responses of those organizations that participated in the survey and possessed a code of ethics.

Design/methodology/approach – An unsolicited questionnaire was sent to the top 500 private sector organizations by market capitalization in the UK. A total of 92 companies responded, of which 56 possessed a code of ethics.

Findings – The empirical findings indicate that the processes involved in developing business ethics commitment have begun to be recognized and acted upon at an organizational level. The supporting measures of business ethics commitment appear to be under-utilized by many of these UK organizations. This suggests that many organizations have not so far developed a strong organizational commitment to embedding their codes of ethics into organizational practices.

Research limitations/implications – While the responses provided a rich picture of organizational actions, further research exploring internal culture and attitudes would add to an understanding of organizational commitment.

Practical implications – It is found that in order to influence practice, it is not enough to have the artefacts of an ethical culture, such as codes, without ensuring that all employees are assisted in understanding what is required of them.

Originality/value – Despite a history of business ethics research, there are a limited number of studies seeking to understand UK companies' commitment to ethical codes. The paper provides guidance on steps that organizations can take to develop a higher level of commitment.

Enterprise systems for innovation in products and processes : beyond operational efficiency

It has been widely accepted now in industry and academia that Enterprise Systems (ES) can create value for adopting organizations by enabling operational efficiency. However, given the enormous investments they warrant, the potential of such systems to deliver more than improving operations is emerging as a popular area of investigation. This paper reports a research-in-progress that proposes innovation as a means of creating business value with Enterprise Systems. The primary contribution of this paper is a process model that proposes that Enterprise Systems can enable innovation - in products and processes, and supports it with empirical evidence using three case studies. The intention is to test this model further with more case studies and a survey.

A model to select processes for IT service management improvement

IT organisations are continually seeking improvements in managing IT service management processes. The selection of relevant processes to improve is one of the most crucial initial decisions to make in service improvement projects. In this paper, we focus on developing a process selection decision model using service perception factors from the Service Quality (SERV-QUAL) model and business drivers from the Balanced Scorecard perspectives along with the main objective of service improvement as improvement driver. We use a Design Science Research method to develop the model and then a prototype from our proposed model. We establish an evaluation protocol to determine the effectiveness of the prototype which will be demonstrated in a case organisation. The main contribution of the paper is to provide evidence-based decision support for IT service providers to select the most relevant service processes to improve.

Towards a semantic quality based approach for business process models improvement

Business process (BP) modeling aims at a better understanding of processes, allowing deciders to improve them. We propose to support this modeling with an approach encompassing methods and tools for BP models quality measurement and improvement. In this paper we focus on semantic quality. The latter is evaluated by aligning BP model concepts with domain knowledge. The alignment is conducted thanks to meta-models. We also define validation rules for checking the completeness of BP models. A medical case study illustrates the main steps of our approach.

Making sense of business intelligence : proposing a socio-technical framework for improved decision making in not-for-profit organisations

The authors of this paper argue that human intuition alone cannot be relied upon for strategic decision making in today’s business environment and that quality data intelligence is an imperative. The proposed project described in this paper is research-in-progress, action design research (ADR), to implement an appropriate information systems (IS) enabling enhanced organisational decision making. ADR is a new research method that draws on action research and design research in an organisational setting. In phase 1 of the project, a sociotechnical ‘sense-making’ approach is used to gather and analyse information and decision needs in a not-for-profit (NFP) association, Connections ACT. In phase 2, requirements are designed and modelled to build a conceptual framework that guides NFPs in improving business performance and reporting capability. Phase 3 is the evaluative stage when the framework is reflected upon and refined, with intervention in the organisation’s processes as a promising outcome.

Health information technology governance : a perspective on investment decision processes

Realizing value from IT investments continues to be a challenge for most healthcare organizations. IT governance (ITG) is envisaged to solve many of these challenges. ITG is the practice that establishes accountability framework for IT investments by allocating decision rights among major participants involved in IT decision processes. As ITG is relatively new in healthcare industry, it is expected that knowledge about how healthcare organizations govern their IT decisions is limited. This research aims to extend this knowledge and to assist both researchers and professionals by providing insights on how IT decisions are made and governed in healthcare organizations (HOs). This research adopts case-study methodology to investigate IT governance in two distinctly different HOs. The research findings indicate that HOs implement ITG to achieve alignment between business objectives and IT. Both HOs set up a five-stage IT decision process to identify, evaluate and prioritize IT investment ideas. They also established generic committee-structures that clearly defined roles and decision authorities to govern such process. It is suggested here that ITG in HOs is heavily influenced by strategic priorities, organizational structure, governance experience and governmental initiatives. Effective ITG in HOs is challenged by IT alignment, policy government, involvement of healthcare executives, and lack of business metrics to justify and evaluate decisions. The research proposes recommendations to address these challenges.

A review of the current status of mobile apps in education - implication for emerging countries business education strategies

Mobile applications (in short: mobile apps) are software applications designed to run on mobile devices such as smart phones and tablet computers. These technologies have come a long way since the opening of the Apple App Store in 2008, especially in their applications for business, information, communication, health and gaming. Most mobile devices are capable of processing and disseminating information in an efficient way. Smart devices, such as the iPhone or iPad, are equipped with innovative functionalities and unique features for easy delivery of content, information sharing, and collaborative work over the Internet. This is the basis for the use of these technologies in the education industry.