Ethics in Marketing Research: Their Practical Relevance

1974 ◽  
Vol 11 (4) ◽  
pp. 357-368 ◽  
Author(s):  
Alice M. Tybout ◽  
Gerald Zaltman
Keyword(s):  
Ethical Issues ◽  
Marketing Research ◽  
Research Data ◽  
Practical Relevance ◽  
Quality Of Data ◽  
Quality Of Research

An understanding of ethical issues involved in marketing research may contribute to the quality of research data. This article discusses subjects’ rights in marketing research and how their violation may affect the quality of data.

scholarly journals Strategi dan Pertimbangan Etis dalam Penulisan Proposal Penelitian Ilmu Perpustakaan dan Informasi

2017 ◽  
Vol 1 (2) ◽  
pp. 131
Author(s):  
Mufid Mufid
Keyword(s):  
Mixed Methods ◽  
Information Science ◽  
Ethical Issues ◽  
Research Proposal ◽  
Writing Strategies ◽  
Library And Information Science ◽  
Proposal Writing ◽  
Writing Strategy ◽  
Quality Of Research

In the preparation of an effective research proposal in library and information science, a researcher needs to have a proposal writing strategy, and to understand of the ethical issues of research either through qualitative, quantitative or mixed methods. Therefore, this paper aims to provide a guidance for a researcher about writing strategies that includes nine key elements of the arguments, the research proposal outlines, the effectively research proposal writing stages, and the ethical issues during the research. The ability of a researcher to choose a strategy, and to understand the ethical issues of research is very important. Its will determine the quality of research outputs

scholarly journals Quality of Open Research Data: Values, Convergences and Governance

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 175 ◽  
Author(s):  
Tibor Koltay
Keyword(s):  
Big Data ◽  
Data Quality ◽  
Academic Research ◽  
Research Data ◽  
Data Governance ◽  
Quality Of Data ◽  
Open Research ◽  
Research Environments

This paper focuses on the characteristics of research data quality, and aims to cover the most important issues related to it, giving particular attention to its attributes and to data governance. The corporate word’s considerable interest in the quality of data is obvious in several thoughts and issues reported in business-related publications, even if there are apparent differences between values and approaches to data in corporate and in academic (research) environments. The paper also takes into consideration that addressing data quality would be unimaginable without considering big data.

Comment on a Standard Definition of Response Rates

1984 ◽  
Vol 21 (3) ◽  
pp. 336-338 ◽  
Author(s):  
Frederick Wiseman ◽  
Maryann Billington
Keyword(s):  
Task Force ◽  
Marketing Research ◽  
Response Rates ◽  
Research Community ◽  
Journal Articles ◽  
Quality Of Data ◽  
Standard Definition ◽  
Industry Standard ◽  
Definition Of

The lack of a standard definition of response rates in surveys has resulted in problems in the marketing research community, including ambiguity in pricing and evaluating research proposals and in assessing the quality of data used in industry reports and journal articles. This comment highlights the work of an industry task force which has considered the implications of different definitions and proposed an industry standard.

scholarly journals Ethical concerns with the use of intelligent assistive technology: findings from a qualitative study with professional stakeholders

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Tenzin Wangmo ◽  
Mirjam Lipps ◽  
Reto W. Kressig ◽  
Marcello Ienca
Keyword(s):  
Assistive Technology ◽  
Ethical Issues ◽  
Machine Intelligence ◽  
Cognitive Disability ◽  
Ethical Challenges ◽  
Quality Of Data ◽  
Technology Governance ◽  
Age Related ◽  
Study Results

Abstract Background Advances in artificial intelligence (AI), robotics and wearable computing are creating novel technological opportunities for mitigating the global burden of population ageing and improving the quality of care for older adults with dementia and/or age-related disability. Intelligent assistive technology (IAT) is the umbrella term defining this ever-evolving spectrum of intelligent applications for the older and disabled population. However, the implementation of IATs has been observed to be sub-optimal due to a number of barriers in the translation of novel applications from the designing labs to the bedside. Furthermore, since these technologies are designed to be used by vulnerable individuals with age- and multi-morbidity-related frailty and cognitive disability, they are perceived to raise important ethical challenges, especially when they involve machine intelligence, collect sensitive data or operate in close proximity to the human body. Thus, the goal of this paper is to explore and assess the ethical issues that professional stakeholders perceive in the development and use of IATs in elderly and dementia care. Methods We conducted a multi-site study involving semi-structured qualitative interviews with researchers and health professionals. We analyzed the interview data using a descriptive thematic analysis to inductively explore relevant ethical challenges. Results Our findings indicate that professional stakeholders find issues of patient autonomy and informed consent, quality of data management, distributive justice and human contact as ethical priorities. Divergences emerged in relation to how these ethical issues are interpreted, how conflicts between different ethical principles are resolved and what solutions should be implemented to overcome current challenges. Conclusions Our findings indicate a general agreement among professional stakeholders on the ethical promises and challenges raised by the use of IATs among older and disabled users. Yet, notable divergences persist regarding how these ethical challenges can be overcome and what strategies should be implemented for the safe and effective implementation of IATs. These findings provide technology developers with useful information about unmet ethical needs. Study results may guide policy makers with firsthand information from relevant stakeholders about possible solutions for ethically-aligned technology governance.

scholarly journals A collective challenge: Open Science from the perspective of Science Europe

2019 ◽  
Vol 72 (2) ◽  
pp. 424-430
Author(s):  
Marie Timmermann
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Open Science ◽  
Research Data ◽  
Major Research ◽  
Research Data Management ◽  
Management Policies ◽  
Good Research ◽  
Quality Of Research

Open Science aims to enhance the quality of research by making research and its outputs openly available, reproducible and accessible. Science Europe, the association of major Research Funding Organisations and Research Performing Organisations, advocates data sharing as one of the core aspects of Open Science and promotes a more harmonised approach to data sharing policies. Good research data management is a prerequisite for Open Science and data management policies should be aligned as much as possible, while taking into account discipline-specific differences. Research data management is a broad and complex field with many actors involved. It needs collective efforts by all actors to work towards aligned policies that foster Open Science.

scholarly journals Research Integrity and Hidden Value Conflicts

2021 ◽  
Author(s):  
Gert Helgesson ◽  
William Bülow
Keyword(s):  
Ethical Issues ◽  
Research Integrity ◽  
Research Process ◽  
Process Data ◽  
Value Conflicts ◽  
Central Values ◽  
Open Discussion ◽  
Group 2 ◽  
Quality Of Research

AbstractResearch integrity is a well-established term used to talk and write about ethical issues in research. Part of its success might be its broad applicability. In this paper, we suggest that this might also be its Achilles heel, since it has the potential to conceal important value conflicts. We identify three broad domains upon which research integrity is applied in the literature: (1) the researcher (or research group), (2) research, and (3) research-related institutions and systems. Integrity in relation to researchers concerns character, although it remains to specify precisely what character traits are the desirable ones in this context and what values researchers should endorse. Integrity in relation to research concerns correct and sufficient description of the research process, data, results, and overall ‘research record’. Hence, it concerns the quality of research. However, whether or not this notion of research integrity covers all ethical aspects of research depends on whether one endorses a wider or a narrower interpretation of the ‘research process’. Integrity in relation to research-related institutions and systems leaves open whether they should be understood as agents in their own right or merely as means to research integrity. Besides the potential lack of clarity that our analysis reveals, we point to how this variety in uses might lead to concealment of value conflicts and propose an open discussion of central values.

scholarly journals Sharing the Ideas of Meta – Science to Improve Quality of Research

2014 ◽  
Vol 11 (1) ◽  
pp. 75-77 ◽  
Author(s):  
UR Aryal ◽  
K Khanal
Keyword(s):  
Medical Journal ◽  
Health Services ◽  
Deductive Reasoning ◽  
Ethical Issues ◽  
Vital Role ◽  
Social Dimension ◽  
Improve Quality ◽  
Interdisciplinary Science ◽  
Quality Of Research

Meta-Science is an interdisciplinary science which provides plenty of oppurtunity to cooperate on better understanding of micro-social dimension of science. It plays vital role to justify the conclusion, which helps to improve quality of research as well as to health services. There are various applications of meta-science for improving quality of research namely: applying theories of philosophy and different disciplines, the use of triangulation, inductive and deductive reasoning, ethical issues and finally fundamentals of scientific research. DOI: http://dx.doi.org/10.3126/kumj.v11i1.11032 Kathmandu University Medical Journal Vol.11(1) 2013: 75-77

scholarly journals Implementation Of ‘Mudharabah’ Contracts And Their Impacts On Fund-Raising Products In Jambi Sharia Banking

2021 ◽  
Vol 21 (2) ◽  
pp. 146-153
Author(s):  
Bahrul Ma'ani ◽  
Supyani - ◽  
Almusrijah Aini ◽  
Indah Maulinda
Keyword(s):  
Data Collection ◽  
Profit Sharing ◽  
Fund Raising ◽  
Islamic Banks ◽  
Validity And Reliability ◽  
Quality Of Data ◽  
Investment Funds ◽  
Inhibiting Factors ◽  
Quality Of Research

Funds with the ‘mudharabah’ principle are investment funds so that Islamic banks share the proceeds only to the owners of funds that use the ‘mudharabah’ principle. The collection of funds is applied to savings and deposit products that use ‘mudharabah’ contracts. The amount of income received by the owner of the ‘mudharabah’ fund is part of the income received in cash from the distribution of funds by Islamic banks. Therefore, the funds collected with the ‘mudharabah’ principle are one of the elements in calculating profit sharing. The problem raised in the research is how to implement the ‘mudharabah’ contract and its impact on fund-raising products in Islamic banking. Two main things affect the quality or results of research: the quality of research instruments and the quality of data collection. The quality of research instruments relates to the validity and reliability of the instruments and the quality of data collection regarding the accuracy of the methods used to collect data. Therefore, an instrument tested for validity and reliability may not necessarily produce valid and reliable data if the instrument is not appropriately used in collecting data. The type of research was the quantitative technique used through interviews, observations, and documentation. In analyzing the data obtained, the authors used descriptive techniques. The results showed that applying ‘mudharabah’ contracts to fund-raising products at Islamic banks is only applied to savings and deposit products, and the advantages of products that use ‘mudharabah’ contracts are basically to make it easier for customers to transact. These products can be used as financing guarantees. There are supporting and inhibiting factors in the products that use ‘mudharabah’ contracts. These supporting factors include the existence of Islamic sharia principles, which are used as a reference for implementing a profit-sharing system on all products, especially savings and deposit products, and the existence of infrastructure facilities within the company that are pretty complete. Meanwhile, the inhibiting factors include the lack of socialization regarding Islamic banks' existence. Abstrak: Dana dengan prinsip 'mudharabah' adalah dana investasi sehingga bank syariah membagi hasil hanya kepada pemilik dana yang menggunakan prinsip 'mudharabah'. Penghimpunan dana diterapkan pada tabungan dan deposito dengan akad mudharabah. Besarnya pendapatan yang diterima oleh pemilik dana mudharabah merupakan bagian dari pendapatan yang diterima secara tunai dari penyaluran dana oleh bank syariah. Oleh karena itu, dana yang dihimpun dengan prinsip 'mudharabah' menjadi salah satu unsur dalam menghitung bagi hasil. Masalah yang diangkat dalam penelitian ini adalah bagaimana penerapan akad mudharabah dan dampaknya terhadap penghimpunan dana di perbankan syariah. Dua hal utama yang mempengaruhi kualitas atau hasil penelitian: kualitas instrumen penelitian dan kualitas pengumpulan data. Kualitas instrumen penelitian berkaitan dengan validitas dan reliabilitas instrumen serta kualitas pengumpulan data mengenai ketepatan metode yang digunakan untuk mengumpulkan data. Jenis penelitian yang digunakan adalah teknik kuantitatif melalui wawancara, observasi, dan dokumentasi. Dalam menganalisis data yang diperoleh, penulis menggunakan teknik deskriptif. Hasil penelitian menunjukkan bahwa penerapan akad mudharabah pada produk penghimpunan dana di bank syariah hanya berlaku pada produk tabungan dan deposito, dan keunggulan produk yang menggunakan akad mudharabah pada dasarnya adalah untuk memudahkan nasabah dalam bertransaksi. Produk-produk ini dapat digunakan sebagai jaminan pembiayaan. Ada faktor pendukung dan penghambat dalam produk yang menggunakan akad mudharabah. Faktor pendukung tersebut antara lain adanya prinsip syariah Islam yang dijadikan acuan penerapan sistem bagi hasil pada semua produk khususnya produk tabungan dan deposito, serta adanya sarana prasarana di dalam perusahaan yang cukup lengkap. Sedangkan faktor penghambatnya antara lain kurangnya sosialisasi tentang keberadaan bank syariah. Kata-kata kunci: mudharabah, implementasi, dampak, produk penghimpunan dana, perbankan syariah.

F-UJI : An Automated Tool for the Assessment and Improvement of the FAIRness of Research Data

2021 ◽  
Author(s):  
Robert Huber ◽  
Anusuriya Devaraju
Keyword(s):  
Research Data ◽  
Lessons Learned ◽  
Assessment Tools ◽  
Quality Of Data ◽  
Related Services ◽  
Digital Repositories ◽  
Data Assessment ◽  
Fair Principles ◽  
Fair Assessment

<p>Making research data FAIR (Findable, Accessible, Interoperable, and Reusable) is critical to maximizing its impact. However, since the FAIR principles are designed as guidelines and do not specify implementation rules, it is difficult to verify the practice of these principles. Therefore, metrics and associated tools need to be developed to enable the assessment of FAIR compliance of services and datasets. Such practical solutions are important for many stakeholders to assess the quality of data-related services. They are important for selecting such services, but can also be used to iteratively improve data offerings, e.g., as part of FAIR advisory processes. With the increasing number of published datasets and the need to test them repeatedly, there is a growing body of literature that recognizes this importance of automated FAIR assessment tools. Our goal is to contribute to this area of FAIR through the development of an open source tool called F-UJI.  F-UJI supports programmatic FAIR assessment of research data based on a set of core metrics against which the implementation of FAIR principles can be assessed. This paper presents the development and application of F-UJI and the underlying metrics. For each of the metrics, we have designed and implemented practical tests based on existing standards and best practices for research data. The tests are important to our expanded understanding of how to test FAIR metrics in practice that have not been fully addressed in previous work on FAIR data assessment. We demonstrate the use of the tool by assessing several multidisciplinary datasets from selected trusted digital repositories, followed by recommendations for improving the FAIRness of these datasets. We summarize the experience and lessons learned from the development and testing.</p>

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