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Our mission
Our mission is to understand and shape the evolving landscape of work in the age of artificial intelligence, automation and big data. We aim to equip individuals and organisations with the knowledge and tools needed to thrive in a rapidly changing and hyper-dynamic business landscape. Through research, comprehensive education programmes, and partnerships, we aim to offer insights and training in this field.
Who we are
Meet the Artificial Intelligence and Data Analytics Hub team
Our interdisciplinary team of leading academics conducts groundbreaking research and provides thought leadership in these dynamic fields. Our staff profiles showcase the diverse expertise and accomplishments of our team.
Associate Professor David Brougham
Dr David Brougham is an Associate Professor at Massey Business School. David is researching how employees and businesses plan to adapt to changes as a result of technological disruption from AI, automation, robotics, etc. David is the Editor for the New Zealand Journal of Human Resources Management.
Professor James (Jim) Arrowsmith
Jim is interested in the management of people at work, and has researched and published on human resource management and industrial relations. Key expertise includes employee engagement, variable pay and flexible working time. Jim has been a consultant for the International Labour Organization, advising Pacific Island governments on the regulation of child labour, seasonal work and employment law.
Associate Professor Henry Chung
Dr Chung is Vice Chair of AIB Asia Pacific and is named as World’s Top 2% of Scientists List, Stanford University.
His key research areas are technology marketing, marketing strategies, decision-making governance, immigrant enterprises, managerial ties, innovation and emerging market enterprises.
Dr Phoebe Fletcher
Phoebe has an industry background with experience in corporate, government and the not-for-profit sector, working in a variety of marketing, communications and digital strategy roles. Her research interests are in emerging technologies, including digital marketing, social media, and social media warfare.
Dr Thanh Ngo
Thanh is an expert in efficiency and productivity analysis with over 70 publications. His recent research focuses on sustainability in aviation and transportation, as well as in other sectors (eg agriculture, manufacturing, banking and finance), regarding the environmental, social, and governance (ESG), sustainable development goals (SDGs), emissions, and green growth.
Professor Stephen Croucher
Stephen was listed in the top 1 per cent of all communication scholars globally from 2012–2016. An award-winning and widely published scholar, his research expertise is in immigrant cultural adaptation, religion and communication, statistics, and conflict.
Professor Ted Zorn
Ted has held positions at the University of North Carolina and Waikato University and has been Pro Vice-Chancellor and Dean of Massey Business School, Deputy Vice-Chancellor, and Head of Massey Executive Development.
His research and teaching expertise are in organisational communication, particularly organisational change, the changing workplace, and workplace wellbeing.
Professor Stephen Kelly
Stephen is a professor of strategy and enterprise. He is widely published and has secured in excess of $1 million in grant, project and research funding.
His research focus is on marketing and enterprise development.
Professor Malcolm Wright
Malcolm Wright is the MSA Charitable Trust Chair in Marketing at Massey University. He has a track record of research excellence and industry engagement spanning 30 years and is known for his innovative work in branding, buyer behaviour and cognitive science.
Dr Diyako Rahmani
Dr Diyako Rahmani received his PhD in intercultural communication from the University of Jyvaskyla in Finland. Diyako teaches communication and media studies. His research is mainly focused on online communication. Due to his ethnic background, Kurdish studies is also another area of his research. Diyako is also a fellow of the Higher Education Academy.
Dr Shafiq Alam
Dr Shafiq Alam obtained his PhD in Data analytics from University of Auckland. Dr Shafiq's research areas focuses on data mining and analytics, with a particular focus on biologically inspired techniques for data mining.
Professor Jarrod Haar
Dr Jarrod Haar received his PhD in Organisational Behaviour/Human Resource Management from the University of Waikato, and was a recipient of a Tumate Mahuta Memorial Scholarship (PhD) from Tainui. Past appointments include Professor of HRM at AUT, Associate Professor at Waikato University, Senior Research Fellow with the University of Auckland, and lecturer at Te Wananga o Aotearoa.
Associate Professor Inga Hunter
Inga came to Massey from clinical medical practice in Ireland, Australia and New Zealand. She has a MPhil in Information Systems. Inga worked in clinical medical practice as a senior medical officer at Palmerston North Hospital. Her research includes health informatics, especially electronic medical records, privacy and confidentiality, mobile technology and smart sensor technologies in health.
Dr Wayne Macpherson
Dr Macpherson has comprehensive knowledge and extensive experience gained from tertiary-level instruction, practice-based research and employment in major industrial corporations in Japan over 25 years. He conducts research into sustainable business excellence for diffusion of knowledge and practice into New Zealand industry and the economy.
Beth Tootell
Beth has a bachelor’s degree from Auckland University, majoring in Marketing and Management, a master's degree from the University of New South Wales, majoring in Advanced Human Resource Management, and a postgraduate qualification in tertiary teaching from Otago University. She has worked in the manufacturing and service industries, and lectured at Otago University before joining Massey in 2001.
What we do
Research and analytics
Conduct research that addresses critical questions about the future of work, artificial intelligence and data analytics.
Education
Offer cutting-edge courses, workshops and seminars designed to empower students, professionals and organisations with the skills and insights necessary to navigate the complexities of the digital age.
Industry engagement
Foster a vibrant community of scholars, practitioners and innovators through partnerships, events and collaborative projects. We believe in the power of collective intelligence to drive meaningful change. In today's rapidly evolving technological landscape, collaboration between academia, government and industry is crucial. Our unit is committed to building strong, mutually beneficial relationships with industry partners and government to ensure that our research and educational initiatives are aligned with real-world needs and challenges.
Publications
We invite you to explore our most recent projects and publications, where you'll find cutting-edge research and innovative insights from our team.
Journal articles
Brougham, D., & Haar, J. (2024). Employee perceptions of disruption knowledge: the influence on career attitudes and behaviors. International Journal of Manpower. 45(3), 597-613.
Aripin, A., & Brougham, D. (2024). COVID-19 and disruptive technology in New Zealand. Journal of Asian Business and Economic Studies. 31(1), 15-26.
Hardy, S., & Brougham, D. (2022). Intelligent automation in New Zealand: Adoption scale, impacts, barriers and enablers. The New Zealand Journal of Human Resources Management. 22(1), 15-31.
Mrowinski, B., Tappin, D., & Brougham, D. (2021). A review of organisational adoption of disruptive technologies and the implications for Human Resource Management. The New Zealand Journal of Human Resources Management. 21(1), 13-26.
Mrowinski, B., Brougham, D., & Tappin, D. (2019). Managers’ Perceptions of Artificial Intelligence and Automation: Insights into the Future of Work. New Zealand Journal of Employment Relations. 44(3), 76-91 Brougham, D., & Haar, J. (2017). Employee assessment of their technological redundancy. Labour and Industry. 27(3), 213-231.
Brougham, D., Haar, JM., & Tootell, B. (2019). Service Sector Employee Insights into the Future of Work and Technological Disruption. New Zealand Journal of Employment Relations. 44(1), 21-36.
Brougham, D., & Haar, J. (2018). Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees' perceptions of our future workplace. Journal of Management and Organization. 24(2), 239-257.
Brougham, D., & Haar, J. (2020). Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study. Technological Forecasting and Social Change. 161.
Baig, A., Mann, R., Lockhart, J., & Macpherson, W. (2024). Business excellence assessments – Learning from award-winning organizations. The TQM Journal. (ABDC: A)
Baig, A., Mann, R., Lockhart, J., & Macpherson, W. (2024). The development of an organizational excellence architecture model to support the implementation of business excellence. TQM Journal. (ABDC: A)
Zhang, L., Lockhart, J., & Macpherson, W. (2023). What happens with the host during reshoring? An exploration of the host company's response in China. Journal of Manufacturing Technology Management, 34(7), 1256-1278. (ABDC: B)
Macpherson, W., & Ashwell, D. (2023). Redundancy with dignity – Give it to me straight. New Zealand Journal of Employment Relations, 47(2). (ABDC: B)
Mika, J. P., Felzensztein, C., Tretiakov, A., & Macpherson, W. G. (2022). Indigenous entrepreneurial ecosystems – A comparison of Mapuche entrepreneurship in Chile and Māori entrepreneurship in Aotearoa New Zealand. Journal of Management and Organization, 1-19. (ABDC: B)
Macpherson, W. G., Tretiakov, A., Mika, J. P., & Felzensztein, C. (2021). Indigenous. entrepreneurship: Insights from Chile and New Zealand. Journal of Business Research, 127, 77-84
Tretiakov, A., Felzensztein, C., Zwerg, C., Mika, J., & Macpherson, W. (2020). Family, community, and globalization: Wayuu Indigenous entrepreneurs as n-culturals. Cross Cultural and Strategic Management, 27(2), 189-211. doi:10.1108/CCSM-01-2019-0025
Macpherson, W. G., Lockhart, J. C., Kavan, H., & Iaquinto, A. L. (2018). Kaizen in Japan: transferring knowledge in the workplace. Journal of Business Strategy, 39(3), 40-45. doi:10.1108/JBS-04-2017-0048
Macpherson, W. G., & Lockhart, J. C. (2017). Understanding the erosion of US competitiveness: Managed education and labor in Japanese “corporate castle towns”. Journal of Management History, 23(3), 315-336. doi:10.1108/JMH-03-2017-0012
Macpherson, W. G., Iaquinto, A. L., & Jannicelle, V. (2017). Finance-oriented directors and crisis management: Blissful ignorance in the hospitality industry? Journal of Hospitality and Tourism Management, 32(C), 82-88. doi:10.1016/j.jhtm.2017.04.008
Macpherson, W. G., Lockhart, J. C., Kavan, H., & Iaquinto, A. L. (2015). An examination of kaizen drift in Japanese genba. Kindai Management Review, 3, 63-74.
Macpherson, W. G., Lockhart, J. C., Kavan, H., & Iaquinto, A. L. (2015). Kaizen: A Japanese philosophy and system for business excellence. Journal of Business Strategy, 36(5), 3-9. doi:10.1108/JBS-07-2014-0083
Soleimani, M., Intezari, A., Pauleen, D. J. And Arrowsmith, J. 2024. 'What will a robot make of your résumé? The bias problem with using AI in job recruitment', The Conversation, June.
Soleimani, M., Arrowsmith, J., Interazi, A., Pauleen, D., and Taskin, N. 2023. Artificial Intelligence: Taking the Human out of HR?’, Human Resources, spring. 20-21.
Soleimani. M., Arrowsmith, J., Interazi, A. and Pauleen, D. 2023. ‘Mitigating bias in AI-powered HRM’, in T. Bondarouk and J. Meijerink (eds.), Research Handbook on Human Resource Management and Disruptive Technologies, Edward Elgar Publishing.
Långstedt, J. and Arrowsmith, J. 2023. ‘Values, Work and Well-being in Artificial intelligence Society: Exacerbating Dilemmas in Human Resource Management’, In M. Filimowicz (ed) Algorithmic Ethics: Algorithms and Society, Routledge. 22-38.
Arrowsmith, J. 2020. Review of Salmon, K. 2019. Jobs, Robots and Us: Why the Future of Work in New Zealand is in Our Hands. Labour & Industry: a journal of the social and economic relations of work.
Halteh, J., Arrowsmith, J., Parker, J., Zorn, T. E. and Bentley, T. 2018 ‘The impact of technology on employment: a research agenda for New Zealand and beyond’, Labour and Industry, 28:3.
Arrowsmith, J. 2017. AI, Robotics and Automation: Implications for work, employment and society, Big Issues in Business| Massey Business School.
Arrowsmith, J. 2014. ‘The prize and peril of HR Analytics’, Human Resources, 18:6 (Feb/March). p.30.
Theunissen, FM., Bezuidenhout, CN., & Alam, S. (2024). Exploring the shortcomings in formal criteria selection for multicriteria decision making based inventory classification models: a systematic review and future directions. International Journal of Production Research.
Alam, S., Ayub, MS., Arora, S., & Khan, MA. (2023). An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity. Decision Analytics Journal. 9.
Alam, S., Zhao, X., Niazi, IK., Ayub, MS., & Khan, MA. (2023). A comparative analysis of global optimization algorithms for surface electromyographic signal onset detection. Decision Analytics Journal. 8.
Ahmed, M., Sardar, U., Ali, S., Alam, S., Patterson, M., & Khan, IU. (2023). Robust Brain Age Estimation via Regression Models and MRI-Derived Features. Communications in Computer and Information Science. Vol. 1864 CCIS (pp. 661 - 674).
Alam, S., Pande, R., Ayub, MS., & Khan, MA. (2023). Towards Developing an Automated Chatbot for Predicting Legal Case Outcomes: A Deep Learning Approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13995 LNAI (pp. 163 - 174).
Ali, S., Ahmad, M., Hassan, UU., Asad Khan, M., Alam, S., & Khan, I. (2022). Efficient Data Analytics on Augmented Similarity Triplets. Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. (pp. 5871 - 5880).
Mansoor, H., Ali, S., Alam, S., Khan, MA., Ul Hassan, U., & Khan, I. (2022). Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers. Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. (pp. 5988 - 5997).
Huang, T. L. & Chung, H. F. L. (2024). Achieving close psychological distance and experiential value in the MarTech servicescape: A mindfulness-oriented service perspective, Journal of Research in Interactive Marketing, In Press.
Huang, TL., & Chung, HFL. (2024). Impact of delightful somatosensory augmented reality experience on online consumer stickiness intention. Journal of Research in Interactive Marketing. 18(1), 6-30.
Huang, TL., Chung, HFL., & Chen, X. (2023). Digital modality richness drives vivid memory experience. Journal of Research in Interactive Marketing. 17(6), 921-939.
Liu, Y., Chung, H. F. L., Zhang, J. & Wu, M. (2023). “The Dark Side of Mobile Apps: When and how technical security matters for in-app purchases?”. Asia Pacific Journal of Marketing & Logistics, 35(12), 2965-2982.
Liu, Y., Chung, H. F. L., Zhang, J. & Wu, M. (2023). When and how digital platforms empower professional services firms: an agility perspective. Journal of Service Theory and Practice, 33(2), 149-168.
Wu, M., Liu, Y. Chung, H. F. L. & Kuo, N. (2022). “When and how mobile payment platform complementors matter in cross-border B2B e-commerce ecosystems? An integration of process and modularization analysis. Journal of Business Research, 139, 843-854.
Chiang, LL., Huang, TL., & Chung, HFL. (2022). Augmented reality interactive technology and interfaces: a construal-level theory perspective. Journal of Research in Interactive Marketing. 16(4), 683-698.
Ho, M. & Chung, H. F. L. (2020). “Customer engagement, customer equity and repurchase intention in mobile apps”, Journal of Business Research, 121, 13–21.
Brougham, D., & Haar, J. (2024). Employee perceptions of disruption knowledge: the influence on career attitudes and behaviors. International Journal of Manpower. 45(3), 597-613. Haar, J. & Wilkinson, S. (2023). A moderated mediation model of smart-device use: Work-family conflict and wellbeing by age. Evidence-Based HRM: A Global Forum for Empirical Scholarship, https://doi.org/10.1108/EBHRM-01-2022-0005.
Haar, J., O’Kane, C. & Cunningham, J. (2022). Firm-level antecedents and consequences of knowledge hiding climate. Journal of Business Research, 141, 410–421.
Brougham, D., & Haar, J. (2018). Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees' perceptions of our future workplace. Journal of Management and Organization. 24(2), 239-257.
Wilkinson, S. & Haar, J. (2023). Smartdevice use in a COVID-19 World: Exploring work-family and family-work conflict and turnover intentions. Asia Pacific Journal of Human Resources, 61, 981–1007. Haar, J. & White, B. (2013). Corporate entrepreneurship and employee retention in New Zealand: The moderating effects of information technology. Human Resource Management Journal, 23(1), 109-125.
Hunter, I., & Lockhart, C. (2024). Using ‘Health’ to Promote Older Adults’ Digital Health Literacy. Medical Research Archives, 12(6). doi:10.18103/mra.v12i6.5579
Basu, A., Rajput, V. K., Ito, M., Ranatunga, P., Kuziemsky, C., Kulatunga, G., . . . Iyengar, S. (2023). Telehealth as a Component of One Health: a Position Paper. Yearbook of Medical Informatics, 32(1), 19-26. doi:10.1055/s-0043-1768728
Hunter, I., Lockhart, C., Rao, V., Tootell, B., & Wong, S. (2022). Enabling Rural Telehealth for Older Adults in Underserved Rural Communities: Focus Group Study. JMIR Formative Research, 6(11), 14 pages. doi:10.2196/35864
Kuziemsky, C., Hunter, I., Udayasankaran, J. G., Ranatunga, P., Kulatunga, G., John, S., . . . Basu, A. (2022). Telehealth as a Means of Enabling Health Equity. Yearbook of Medical Informatics, 31(1), 60-66. doi:10.1055/s-0042-1742500
Nakashima, N., Maruf, R. I., Schaper, L., Wong, C. P., Choi, I. Y., Hunter, I., . . . Kijsanayotin, B. (2022). APAMI. Yearbook of Medical Informatics, 31(1), 340-346. doi:10.1055/s-0042-1742492
Whiddett, D., Hunter, I., Elers, P., Lockhart, C. A., Guesgen, H. W., & Singh, A. (2021). New and Emerging Issues for Technologies to Support Older Adults to Age in Place: Findings From a Workshop of Experts. International Journal of Applied Research on Public Health Management, 6(1), 1-13. doi:10.4018/IJARPHM.2021010101
Day, K., Hunter, I., Rao, V., Russell, G., Roskvist, R., Moir, F., . . . van der Werf, B. (2021). Survey protocol for exploring video and phone use in Aotearoa New Zealand general practice: considerations for future telehealth. BMJ Health & Care Informatics, 28(1). doi:10.1136/bmjhci-2020-100309
Tretiakov, A., & Hunter, I. (2021). User Experiences of the NZ COVID Tracer App in New School of Management Zealand: Thematic Analysis of Interviews. JMIR mHealth and uHealth, 9(9), 15 pages. doi:10.2196/26318
Basu, A., Kuziemsky, C., de Araújo Novaes, M., Kleber, A., Sales, F., Al-Shorbaji, N., . . . Udayasankaran, J. G. (2021). Telehealth and the COVID-19 Pandemic: International Perspectives and a Health Systems Framework for Telehealth Implementation to Support Critical Response. Yearbook of medical informatics, 30(1), 126-133. doi:10.1055/s-0041-1726484
Ngo, T. (2024). Aviation discontinuity and regional house prices: Quasi-experiment in New Zealand. International Journal of the Economics of Business (accepted).
Henderson, I. L., Tsui, K. W. H., Ngo, T., Gilbey, A., & Avis, M. (2024). The Nature of Airport Brand Associations. Tourism and Hospitality, 5(3), 592-624.
Boubaker, S., Ngo, T., Aristeidis Samitas, & David Tripe (2024). An MCDA Composite Index of Bank Stability using CAMELS ratios and Shannon Entropy. Annals of Operations Research (Online first).
Phutawan Ho Wongyai, Thanh Ngo, Louis Wu, Kan Tsui, and Thu-Huong Nguyen (2024). Self-Service Technology in Aviation: A Systematic Literature Review. Journal of the Air Transport Research Society (Online first).
Norman Hutchison, Bryan MacGregor, Thanh Ngo, Graham Squires, and Don J Webber (2024). The reverse mortgage market in New Zealand: key drivers of loan determination. Applied Economics, 1-16, (Online first).
Tu DQ Le, Thanh Ngo, Dat T Nguyen, and Thuong Do (2024). Bank-fintech cooperation and bank performance: Fresh evidence from an emerging market. International Journal of Bank Marketing (Online first).
Tu DQ Le, Tin H Ho, Thanh Ngo, and Thu B Luu (2024). Recognizing CEOs and Chairmen’s personality and bank performance: New insights from signature analysis. Journal of Chinese Economic and Business Studies, 1-27.
Wu, H., Lin, Y.-H., Ngo, T., & Hong Tsui, K. W. (2024). Aviation subsidy policy and regional wellbeing: Important indicators from relevant stakeholders’ perspectives. Case Studies on Transport Policy, 16, 101181.
Boubaker, S., Le, T. D. Q., Manita, R., & Ngo, T. (2024). Balancing Bank Profits and Nonperforming Loans: A Multiple Objective Programming Approach. Annals of Operations Research (Online first).
Ngo, T., Tripe, D., & Nguyen, D. K. (2024). Estimating the Productivity of US Agriculture: The Fisher Total Factor Productivity Index for Time Series Data with Unknown Prices. Australian Journal of Agricultural and Resource Economics, 68(3), 701-712.
Le, B. T., Mai, T. T. X., Ngo, T., & Le, T. D. Q. (2024). Do money laundering risks influence the illicit drug markets? Evidence based on a novel estimation of the international cocaine market. Asian Journal of Law & Economics (Online first).
Wu, H., Hong Tsui, K. W., Ngo, T., & Lin, Y.-H. (2023). Airport subsidies impact on wellbeing of smaller regions: A systemic examination in New Zealand. Transport Policy, 130, 26-36.
Boubaker, S., Le, T. D. Q., Manita, R., & Ngo, T. (2023). The trade-off frontier for ESG and Sharpe ratio: a bootstrapped double-frontier data envelopment analysis. Annals of Operations Research (Online first).
Ngo, T., Graham Squires, Michael McCord, & Daniel Lo (2023). House Prices, Airport Location Proximity, Air Traffic Volume and the Covid-19 Effect. Regional Studies, Regional Science, 10(1), 418-438.
Ngo, T., & Tsui, K. W. H. (2023). Price reaction in New Zealand’s duopolistic airline market. International Journal of the Economics of Business, 30(2), 159-184.
S Boubaker, TDQ Le, T Ngo, & R Manita (2023). Predicting the performance of MSMEs: A hybrid DEA-machine learning approach. Annals of Operations Research (Online first).
Le, T. D. Q., Ho, T. N. T., Nguyen, D. T., & Ngo, T. (2023). Bank performance during the Covid-19 pandemic: Does income diversification help? Journal of Applied Economics, 26(1), 2222964.
T Ngo, T Le, S Ullah, HH Trinh (2022). Climate risk disclosures and global sustainability initiatives: A conceptual analysis and agenda for future research. Business Strategy and the Environment, 32(6), 3705-3720.
T Ngo, HH Trinh, I Haouas, S Ullah (2022). Examining the bidirectional nexus between financial development and green growth: International evidence through the roles of human capital and education expenditure. Resources Policy, 79, 102964.
Yuen, M. K., Ngo, T., Le, T. D. Q., & Ho, T. N. T. (2022). The environment, social and governance (ESG) activities and profitability under COVID-19: Evidence from the global banking sector. Journal of Economics and Development, 24(4), 345-364.
TDQ Le, T Ngo, TH Ho, DT Nguyen (2022). ICT as a Key Determinant of Efficiency: A Bootstrap-Censored Quantile Regression (BCQR) Analysis for Vietnamese Banks. International Journal of Financial Studies, 10(2), 44.
TDQ Le, TH Ho, DT Nguyen, T Ngo (2022). A cross-country analysis on diversification, Sukuk investment, and the performance of Islamic banking systems under the COVID-19 pandemic. Heliyon, 8(3), e091061.
S Boubaker, TDQ Le, T Ngo (2022). Managing bank performance under COVID‐19: A novel inverse DEA efficiency approach. International Transactions in Operational Research, 30, 2436-2452.
Mecredy, P., Wright, M., Feetham, P., & Stern, P. (2024). Remembering less, or needing less? Age-related differences in the purchase funnel. Marketing Letters, 35(2), 171-186.
Trinh, G., & Wright, M. J. (2022). Predicting future consumer purchases in grocery retailing with the condensed Poisson lognormal model. Journal of Retailing and Consumer Services, 64, 102809.
Carlisle, D. P., Feetham, P. M., Wright, M. J., & Teagle, D. A. (2023). Public response to decarbonisation through alternative shipping fuels. Environment, Development and Sustainability, 1-20.
Santoso, I., Wright, M. J., Trinh, G., & Avis, M. (2022). Mind the attention gap: how does digital advertising impact choice under low attention?. European Journal of Marketing, 56(2), 442-466.
Driesener, C., Rungie, C., & Wright, M. (2022). Dirichlet implications for portfolio management. Journal of Consumer Behaviour, 21(1), 49-62.
Trinh, G., Dawes, J., Wright, M. J., Danenberg, N., & Sharp, B. (2022). Extended conditional trend analysis: Predicting triple period buyer flows with a tri‐variate NBD model. Journal of Consumer Behaviour, 21(1), 92-101.
Zorn, T. E., Henderson, A., & Grant, S. L. (2013). Strengthening resource mobilization chains: Developing the social media competencies of community and voluntary organizations in New Zealand. Voluntas, 24 (3), 666-687. DOI: 10.1007/s11266-012-9265-1.
Halteh J.,Arrowsmith, J., Parker, J. , Zorn T. E. & Bentley T. (2018) The impact of technology on employment: a research agenda for New Zealand and beyond, Labour & Industry: a journal of the social and economic relations of work, 28:3, 203-216, DOI: 10.1080/10301763.2018.1519774
Richardson, M., & Zorn, T. E. (2012). Interactions at the elder-organisation interface: Elders’ experiences. Research on Aging, 34(6), 738-757. DOI: 10.1177/0164027512444781
Richardson, M., Zorn, T. E., & Weaver, C. K. (2011). Older people and new communication technologies: Narratives from the literature, Communication Yearbook, 35, 120-153.
Zorn, T. E., Flanagin, A. J., & Shoham, M. D. (2011). Institutional and non-institutional influences on information and communication technology adoption and use among nonprofit organizations, Human Communication Research, 37(1), 1-33.
Weaver, C. K., Zorn, T. E., & Richardson, M. (2010). Not ‘Getting On’: Older Non-Users’ Narratives of Computers. Information, Communication & Society, 13(5), 696–721.
Zorn, T. E., Weaver, C. K., Richardson, M., & Gilbert, E. (2010). Technology uptake among older, Mormon Maori: Themes, tensions, and intersections. Australian Journal of Communication, 37(1), 1-16.
Macpherson, W. (2024). Thinking about the future. Workshop 20 Report. BusinessFirstNZ
Macpherson, W. (2024). In pursuit of business excellence. Workshop 19 Report. BusinessFirstNZ.
Macpherson, W., & Scott, J. (2024). Artificial Intelligence unleashed: Harnessing power, protecting assets. Workshop 18 Report. BusinessFirstNZ.
Scott, J., Macpherson, W., & Kobayashi, K. (2023). The future of work: Artificial Intelligence (AI) in the Workplace. Workshop 17 Report. BusinessFirstNZ.
Macpherson, W., & Scott, J. (2023). BusinessFirstNZ: Engaging business and academia. Industry Report II. BusinessFirstNZ.
Scott, J., & Macpherson, W. (2023). Māori business perspectives for contemporary business challenges & opportunities. Workshop 16 Report. BusinessFirstNZ.
Scott, J., & Macpherson, W. (2023). Entrepreneurial ecosystems for advancing regional business. Workshop 15 Report. BusinessFirstNZ.
Macpherson, W., & Scott, J.(2023). Conflict and dispute resolution for SMEs. Workshop 14 Report. BusinessFirstNZ.
Baig, A., Robin, M., James, L., & Macpherson, W. (2022). An exploration of the organisational excellence architecture required to support an award winning business excellence journey.
Macpherson, W., & Scott, J. (2022). Unpacking management strategies for your future workplace – Back to basics. Workshop 13 Report. BusinessFirstNZ.
Scott, J., & Macpherson, W. (2022). Future work-life organizational responses for a(n apparent) shift in individual practices and preferences. Workshop 12 Report. BusinessFirstNZ.
Macpherson, W., & Scott, J. (2022). Business and sustainability part 2 – The social focus. Workshop 11 Report. BusinessFirstNZ.
Scott, J., & Macpherson, W. (2022). BusinessFirstNZ: Advancing engagement among industry and academic communities for business prosperity in New Zealand.
Macpherson, W., & Scott, J. (2022). Business and sustainability part 1 – An environmental focus. Workshop 10 Report. BusinessFirstNZ.
Scott, J., & Macpherson, W. (2021). Supply chain management part 2: Applying SCM concepts to your business. Workshop 9 Report. BusinessFirstNZ.
Macpherson, W., & Scott, J. (2021). Supply chain management part 1: Market risks, mega trends, and negotiation. Workshop 8 Report. BusinessFirstNZ.
Macpherson, W., & Scott, J. (2021). Understanding your market. Workshop 7 Report. BusinessFirstNZ: Understanding your market.
Scott, J., & Macpherson, W. (2020). Fail fast - How to fail your way to success in a crazy world. Workshop 5 Report. BusinessFirstNZ.
Scott, J., & Macpherson, W. (2020). Letting go: Effective delegation for enhanced decision making. Workshop 4 Report. BusinessFirstNZ.
Scott, J., & Macpherson, W. (2020). Business models: Developing tailored business models and plans to work for you. Workshop 3 Report. BusinessFirstNZ.
Macpherson, W., & Scott, J. (2019). Collaboratively identifying business dilemmas through engagement with business, for business. Workshop 2 Report. BusinessFirstNZ.
Macpherson, W., & Scott, J. (2019). Collaboratively identifying business dilemmas through engagement with business, for business. Workshop 1 Report. BusinessFirstNZ.
Collaborate with us
We're always eager to explore new collaborations and events. If you're interested in discussing potential partnerships or have ideas for future events, please don't hesitate to contact us using our Contact Form or email D.Brougham@massey.ac.nz.
Together, we can drive forward the frontiers of digital business.