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Alm, Håkan
Alternative names
Publications (10 of 22) Show all publications
Alm, H., Forsgren, O. & Roos, J. M. (2024). ChatGPT a powerful assistant, when using Double-Loop Co-Design. In: : . Paper presented at Intelligent Systems Conference (IntelliSys) 2024, Amsterdam, The Netherlands, 5-6 September, 2024..
Open this publication in new window or tab >>ChatGPT a powerful assistant, when using Double-Loop Co-Design
2024 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Computers can now carry out tasks, by first learning from being given examples, rather than just doing exactly what they are told, this is often referred to as Machine Learning or AI. This has given almost endless possibilities what these machines can ultimately do. At the same time, it also gives us many threats and things to worry about from a safety, security and ethical point of view and voices are raised that we should control what AI is allowed to do by laws and regulations. By applying a Double loop Co-design approach to science this paper focusses on ChatGPT and researchers experience with effectiveness and ethics related to use o this tool. 3 workshops were conducted with totally 14 participants from 5 continents. Most of the respondents are positive and excited about what Chat GPT and AI can do for us, but they are also worried. The main concerns are that AI will do the creative and fun parts of our work and that it produces false facts. In conclusion, if applying a perspective conscious view of knowledge, AI can inspire human controlled creativity and informed decision making with multi-perspective views of reality. 

Keywords
ChatGPT, OpenAI, AI, Machine Learning, Natural Language, Co-Design, Research Ethics
National Category
Information Systems
Research subject
Business and IT; Business and IT
Identifiers
urn:nbn:se:hb:diva-31795 (URN)
Conference
Intelligent Systems Conference (IntelliSys) 2024, Amsterdam, The Netherlands, 5-6 September, 2024.
Available from: 2024-05-03 Created: 2024-05-03 Last updated: 2024-05-03Bibliographically approved
Roos, J. M., Alm, H., Flodén, J. & Hansson, L. (2024). Covid-19 and online shopping of groceries across generation cohorts: Representative samples of the Swedish population. In: : . Paper presented at 2nd World Conference on Information Systems for Business Management, Bangkok, Thailand, 12 - 13 September, 2024..
Open this publication in new window or tab >>Covid-19 and online shopping of groceries across generation cohorts: Representative samples of the Swedish population
2024 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The present study aims to explore online shopping of groceries across generation cohorts in Sweden during Covid-19, particularly regarding the oldest generation cohort – the Dutifuls (born 1945 or earlier). The data were collected through three large surveys, representative for the Swedish population in the age range 18 – 85. The field period for the first survey was September 17, 2018–January 21, 2019 (N = 1,754). The field period for the second survey was April 14 – June 28, 2020 (N = 2,501). The field period for the third survey was September 20 – December 30, 2021 (N = 1,588). Online grocery shopping in Sweden has increased remarkably since the outbreak of Covid-19, especially among the Dutifuls. However, the same generation cohort decreased their online shopping of groceries in the end of 2021. The findings are discussed in relation to limitations and practical implications. The decline of online shopping of groceries among the Dutifuls needs to be followed-up and explained by further research.

Keywords
Online Grocery Shopping, Generation Cohort, Covid-19
National Category
Economics
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-31619 (URN)10.1007/978-981-99-8346-9_13 (DOI)
Conference
2nd World Conference on Information Systems for Business Management, Bangkok, Thailand, 12 - 13 September, 2024.
Available from: 2024-02-26 Created: 2024-02-26 Last updated: 2024-05-22Bibliographically approved
Sahlin, J., Sundell, H., Mbiydzenyuy, G., Alm, H., Holgersson, J., Suhonen, C. & Hjelm, T. (2023). Exploring Consumers' Discernment Ability of Autogenerated Advertisements. In: Qinglin Sun; Jie Lu; Xianyi Zeng; Etienne E. Kerre; Tianrui Li (Ed.), Machine Learning, Multi Agent and Cyber Physical Systems: Proceedings of the 15th International FLINS Conference (FLINS 2022): . Paper presented at Conference on Machine learning, Multi Agent and Cyber Physical Systems (FLINS 2022), Tianjin, China, 26 – 28 August 2022 (pp. 322-329). World Scientific
Open this publication in new window or tab >>Exploring Consumers' Discernment Ability of Autogenerated Advertisements
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2023 (English)In: Machine Learning, Multi Agent and Cyber Physical Systems: Proceedings of the 15th International FLINS Conference (FLINS 2022) / [ed] Qinglin Sun; Jie Lu; Xianyi Zeng; Etienne E. Kerre; Tianrui Li, World Scientific, 2023, p. 322-329Conference paper, Published paper (Refereed)
Abstract [en]

Autogenerated Advertisements (AGAs) can be a concern for consumers if they suspect that Artificial Intelligence (AI) was involved. Consumers may have an opposing stance against AI, leading companies to miss profit opportunities and reputation loss. Hence, companies need ways of managing consumers’ con-cerns. As a part of designing such advices we explore consumers’ discernment ability (DA) of AGAs. A quantitative survey was used to explore consumers’ DA of AGAs. In order to do this, we administered questionnaires to 233 re-spondents. A statistical analysis including Z-tests, of these responses suggests that consumers can hardly pick out AGAs. This indicates that consumers may be guessing and thus do not possess any significant DA of our AGAs.

Place, publisher, year, edition, pages
World Scientific, 2023
Series
World Scientific Proceedings Series on Computer Engineering and Information ScienceAdvanced Knowledge International, ISSN 1793-7868, E-ISSN 2972-4465 ; 13
Keywords
Autogenerated ads, Discernment ability, Marketing
National Category
Computer Sciences
Identifiers
urn:nbn:se:hb:diva-29252 (URN)10.1142/9789811269264_0038 (DOI)978-981-126-925-7 (ISBN)978-981-126-927-1 (ISBN)
Conference
Conference on Machine learning, Multi Agent and Cyber Physical Systems (FLINS 2022), Tianjin, China, 26 – 28 August 2022
Note

Partly funded by The Knowledge Foundation, grants nr. 20160035, 20170215

Available from: 2023-01-11 Created: 2023-01-11 Last updated: 2023-11-27
Alm, H., Chotiyaputta, V. & Bejrakashem, S. (2022). Factors Influencing Mobile Payment Adoption By Silver Generation In Thailand And Sweden. Social Science Asia, 8(2)
Open this publication in new window or tab >>Factors Influencing Mobile Payment Adoption By Silver Generation In Thailand And Sweden
2022 (English)In: Social Science Asia, E-ISSN 2229-2608, Vol. 8, no 2Article in journal (Refereed) Published
Abstract [en]

This paper aims to examine the factors that influence the willingness to adopt mobile payments and the behavior intention to adopt among Thailand and Sweden's older adults. The developed Unified Theory of Acceptance and Use of Technology model was adopted as a conceptual framework and a measurement for this study. The five factors include performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived risk are the independent variables plus the behavior intention to adopt mobile payments as a dependent variable. A quantitative analysis approach has been chosen to obtain data that can be statistically analyzed and compared. A total of 303 of the target respondents in Thailand and Sweden were collected through self-administered questionnaire surveys and analyzed with ADANCO with the partial least square method. The empirical results revealed a significant relationship between most factors with effort expectancy as the only insignificant determinant. For instance, the findings show that social influence has a substantial positive impact on the Thais and a significant impact on Sweden's willingness to adopt mobile payments. Further, perceived risk was found to negatively impact the adoption of mobile payment services in both countries. Still, the fear of losing money was significantly less in Sweden than in Thailand.

Place, publisher, year, edition, pages
National Research Council of Thailand (NRCT), 2022
National Category
Business Administration
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-27757 (URN)
Available from: 2022-04-12 Created: 2022-04-12 Last updated: 2022-04-12
Sundström, M., Alm, K. H., Larsson, N. & Dahlin, O. (2021). B2B social media content: engagement on LinkedIn. Journal of business & industrial marketing, 36(3), 454-468
Open this publication in new window or tab >>B2B social media content: engagement on LinkedIn
2021 (English)In: Journal of business & industrial marketing, ISSN 0885-8624, Vol. 36, no 3, p. 454-468Article in journal (Refereed) Published
Abstract [en]

Purpose – This paper aims to identify content strategies on social media that influence engagement and to analyze those operations to describe important features for co-creation and trust.

Design/methodology/approach – This paper addresses the question of how social media content can influence engagement by using a mediumsized Swedish company for an empirical case study. This empirical study is based on a participatory action research methodology. By using the company account on LinkedIn, the authors experimented with relational content to understand the effects on customer-perceived value and trust.

Findings – Results reveal that action-oriented messages had a more significant impact on engagement than product-oriented messages and valuebased messages.

Originality/value – This paper builds on the existing literature in two ways: drawing upon business-to-business relationships and perceived value and using recent advances in the use of social networking sites to understand the value of co-creation through a participatory culture.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2021
Keywords
social networking sites, LinkedIn, engagement, business-to-business (B2B) relationships, perceived value, co-creation, co-design, trust
National Category
Business Administration
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-24058 (URN)10.1108/JBIM-02-2020-0078 (DOI)000574637300001 ()2-s2.0-85091689594 (Scopus ID)
Funder
Knowledge Foundation, 20160035
Available from: 2020-11-18 Created: 2020-11-18 Last updated: 2021-07-08Bibliographically approved
Sahlin, J., Sundell, H., Alm, H. & Holgersson, J. (2021). Evaluating artificial short message service campaigns through rule based multi-instance multi-label classification. In: Andreas Martin; Knut Hinkelmann; Hans-Georg Fill; Aurona Gerber; Doug Lenat; Reinhard Stolle; Frank van Harmelen (Ed.), AAAI-MAKE 2021Combining Machine Learning and Knowledge Engineering: Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021). Paper presented at 2021 AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering, AAAI-MAKE 2021, Stanford University, Palo Alto, California, USA, March 22-24, 2021.. CEUR-WS, 2846
Open this publication in new window or tab >>Evaluating artificial short message service campaigns through rule based multi-instance multi-label classification
2021 (English)In: AAAI-MAKE 2021Combining Machine Learning and Knowledge Engineering: Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021) / [ed] Andreas Martin; Knut Hinkelmann; Hans-Georg Fill; Aurona Gerber; Doug Lenat; Reinhard Stolle; Frank van Harmelen, CEUR-WS , 2021, Vol. 2846Conference paper, Published paper (Refereed)
Abstract [en]

Marketers need new ways of generating campaigns artificially for their marketing activities. Many marketers assume proprietary systems are individualized enough. This article investigates an order of models used to measure how reliably a system can generate campaigns artificially while producing a campaign classification and generation models that are integrated into an intelligent marketing system. The order is between a Classification Model (CM) and a Generation Model (GM). The order also functions as an iterative model improvement process for developing the models by evaluating the models' accuracy distributions. The CM received a mean accuracy of 100%. The GM received 98.9% mean accuracy and a reproducibility score of 96.2%, implying the vast potential for increased resource savings, marketing precision, and less consumer annoyance. The conclusion is that the developed system can reliantly construct campaigns.

Place, publisher, year, edition, pages
CEUR-WS, 2021
Keywords
Artificial intelligence, Intelligent marketing system, Iterative model improvement, Classification (of information), Commerce, Machine learning, Springs (components), Classification models, Iterative model, Marketing activities, Multi label classification, Proprietary systems, Reproducibilities, Resource savings, Short message services, Marketing
National Category
Computer Sciences
Identifiers
urn:nbn:se:hb:diva-25999 (URN)2-s2.0-85104648031 (Scopus ID)
Conference
2021 AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering, AAAI-MAKE 2021, Stanford University, Palo Alto, California, USA, March 22-24, 2021.
Available from: 2021-07-08 Created: 2021-07-08 Last updated: 2023-11-27
Sahlin, J., Sundell, H., Alm, H. & Holgersson, J. (2020). Short message service campaign taxonomy for an intelligent marketing system. In: Zhong Li, Chunrong Yuan, Jie Lu, Etienne E. Kerre (Ed.), Developments of Artificial Intelligence Technologies in Computation and Robotics: Proceedings of the 14th International FLINS Conference (FLINS 2020). Paper presented at FLINS/ISKE 2020: The 14th International FLINS Conference on Robotics and Artificial Intelligence and the 15th International Conference on Intelligent Systems and Knowledge Engineering, Cologne, Germany, August 18-21, 2020 (pp. 606-613). Singapore: World Scientific
Open this publication in new window or tab >>Short message service campaign taxonomy for an intelligent marketing system
2020 (English)In: Developments of Artificial Intelligence Technologies in Computation and Robotics: Proceedings of the 14th International FLINS Conference (FLINS 2020) / [ed] Zhong Li, Chunrong Yuan, Jie Lu, Etienne E. Kerre, Singapore: World Scientific , 2020, p. 606-613Conference paper, Published paper (Refereed)
Abstract [en]

This study presents a novel taxonomy of short message service campaigns, for the purpose of building an intelligent marketing system. The main issue of mass marketing is that one size does not fit everybody. In other words, it is challenging to meet different consumer needs. With the help of artificial intelligence, marketers can be supported to overcome some of these challenges. This study uses a mixed methods approach where design science and grounded theory is used to produce a short message service campaign taxonomy for a future intelligent marketing system. Data collection consisted of 386 previously active campaigns used over 33 months to build the taxonomy. An experimental study was conducted to test the effectiveness of the proposed taxonomy. The experiments involved automatic generation of campaign messages. The validity of these campaign messages, and hence the proposed taxonomy, was ascertained by analysing the messages within a business context. The study concludes that the system, intertwined with the taxonomy, performs comparably to a regular campaign. Another proof of concept is that the business context deemed the generated campaign texts to be both semantically and syntactically similar to run them in active campaigns as experiments.

Place, publisher, year, edition, pages
Singapore: World Scientific, 2020
Series
World Scientific Proceedings Series on Computer Engineering and Information Science, ISSN 1793-7868 ; 12
Keywords
fashion industry, artificial intelligence, marketing campaign, taxonomy, campaign builder, intelligent marketing system
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:hb:diva-24163 (URN)10.1142/9789811223334_0073 (DOI)978-981-122-332-7 (ISBN)978-981-122-333-4 (ISBN)978-981-122-334-1 (ISBN)
Conference
FLINS/ISKE 2020: The 14th International FLINS Conference on Robotics and Artificial Intelligence and the 15th International Conference on Intelligent Systems and Knowledge Engineering, Cologne, Germany, August 18-21, 2020
Available from: 2020-08-19 Created: 2020-11-30 Last updated: 2023-11-24Bibliographically approved
Alm, H. (2020). Supervising strategy for Phd Students. Paper presented at Supervision strategy. Borås: University of Borås
Open this publication in new window or tab >>Supervising strategy for Phd Students
2020 (English)Other (Refereed)
Abstract [en]

In this supervision strategy some important issues and challanges  are highlighted. The demands put on supervisors have gradually increased through and can lead to a difficult balance act by achieving results and marinating quality as time is a finite resource.

Literature was reviewed and points out information that is already known and relevant to current research.

This study is intended to present findings and conclusions regarding how to successfully coach and supervise PhD students to become ethical, yet confident and effective researchers and lecturers.

Place, publisher, year, pages
Borås: University of Borås, 2020
Keywords
Supervision, Doctoral, strategy
National Category
Computer Systems
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-24061 (URN)
Conference
Supervision strategy
Projects
Course: Supervising Doctoral Students
Available from: 2020-11-18 Created: 2020-11-18 Last updated: 2020-11-27Bibliographically approved
Alm, K. H. (2016). Academic Portfolio.
Open this publication in new window or tab >>Academic Portfolio
2016 (English)Other (Other academic)
National Category
Pedagogy
Identifiers
urn:nbn:se:hb:diva-11148 (URN)
Available from: 2016-11-18 Created: 2016-11-18 Last updated: 2017-03-03Bibliographically approved
Radon, A., Alm, H. & Sundström, M. (2016). Asymmetrical Relationships in Online Payment Solutions. In: : . Paper presented at Marketing Edge Summit Direct/Interactive Marketing Research Summit, Los Angeles, October 15-16, 2016.
Open this publication in new window or tab >>Asymmetrical Relationships in Online Payment Solutions
2016 (English)Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

Dahlberg et al. (2008:165) in their paper proposed a definition for mobile payments as "payments for goods, services, and bills with a mobile device by taking advantage of wireless and other communication technologies", this in order to clarify the concept of mobile payments in particular, that had been subject to different interpretations. In this paper mobile payments are not specifically distinguished from other types of payments that occur online.

After Dahlberg et als review (2008) several other literature reviews about mobile payments have been written. Such as Slade et al. (2013), de Albuquerque et al. (2014) and Dennehy and Sammon (2015) but the literature on relationships between payment provider and customer in an online context is quite scares.

Asymmetrical relationships have been identified in the context of online payment solutions. Providers are turning more to service and debating how to offer better service and how to keep the customer as a customer for longer and how the customer can benefit more from the payment provider. The question of when a customer is converted into an actual customer arises. Some claiming it is when the transaction is completed, others that it is long after payment has been made. In light of this it is hard to see how the role online payment providers can expand but also how it will change when moving into a cashless society. The aim of this paper is to view online payment solutions in light of the relationships payment providers wish to establish and strengthen with their customer.

Data has been generated through two focus groups, an online questionnaire and individual interviews. The in depth focus groups (2 with 5 participants in each) were analyzed and key areas were identified and a questionnaire was developed and distributed to customers of a provider of payment solutions (394 responses were gathered). After the questionnaire was analyzed and conclusions drawn, areas that needed to be further explored in-depth were identified. These areas were further explored through individual interviews. The methodology is characterized by using both qualitative and quantitative approaches to generate data.

The results of the empirical material shows a desire, on the part of the provider of the payment solution to prolong the relationship but also that the customer has no wish to have a relationship with the provider or in some cases, doesn’t even view the provider as a partner/brand/etc. but merely as a means to and end or a facilitator of receiving a good or a service.

This study is a comprehensive empirical framework on customer insight into online payments and issues connected to purchase as well as payment and potential relationships with payment solutions providers.

References

Dahlberg, T., Mallat, N., Ondrus, J., Zmijewska, A., 2008b. Past, present and future of mobile payments research: {A} literature review. Electronic Commerce Research and Applications 7 (2), 165–181.

de Albuquerque, J. P., Diniz, E. H., Cernev, A. K., 2014. Mobile payments: A scoping study of the literature and issues for future research. Information Development, 1–27.

Dennehy, D., Sammon, D., 2015. Trends in mobile payments research: A literature review. Journal of Innovation Management 3 (1), 49–61.

Slade, E. L., Williams, M. D., Dwivedi, Y. K., 2013. Mobile payment adoption: Classification and review of the extant literature. The Marketing Review 13 (2), 167–190

National Category
Business Administration
Research subject
Bussiness and IT
Identifiers
urn:nbn:se:hb:diva-11863 (URN)
Conference
Marketing Edge Summit Direct/Interactive Marketing Research Summit, Los Angeles, October 15-16, 2016
Note

Endast abstract

Available from: 2017-01-26 Created: 2017-01-26 Last updated: 2017-01-26Bibliographically approved
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