Phenomenon-Based Theorizing – where do ideas from phenomenon-driven papers come from? The authors mention personal experience, curious observation, data complication, facilitating conversations and uncovering examples.

Achieving Fit and Avoiding Misfit in Qualitative Research – one of the biggest challenges with qualitative research is connecting the different parts into one coherent whole. The research question must fit with the data collection, which then must fit with the analysis which then should fit with the interpretation.

Bridging Art and Science: Phenomenon-Driven Theorizing – insightful model of how art and science work together to make theories. Conceiving the theory requires discovery and prescience, constructing the theory requires imagination and logic and communicating the theory requires storytelling and scripting.

The nuts and bolts of writing a theory paper: A practical guide to getting started – very useful guide on how to write a paper (even beyond theory papers). It gives actual exercises that one can do to frame the paper and guide its further development.

The Quest for Innovation in Information Systems Research: Recognizing, Stimulating, and Promoting Novel and Useful Knowledge – the article shows the different ways that papers can contribute to research.

• filling a literature gap
• filling a problem gap
• bricolage (rearranging extant knowledge in search of new insights)
• distinguishing between subsets of population
• changing levels of analysis or stakeholders
• extending current models
• examining the evolution of technology and its effects
• applying another theory base
• using different methods
• future-oriented studies
• blue ocean transformation by challenging assumptions
• shifting perspectives

Sowing the seeds of failure: Organizational identity dynamics in new venture pivoting – pivoting when you are still establishing an identity can be difficult. This study identifies co-development of business model with the investors, professionalization of recruitment and implementation of routines based on the planned milestones as steps to help stakeholders cope with such pivots.

Organizing Entrepreneurial Teams: A Field Experiment on Autonomy over Choosing Teams and Ideas – Teams that can choose which ideas to work on or which members to work with outperform those that do not have any choice at all. As the article explains, this can be attributed to team members selecting ideas that may interest them or team members selecting according to their prior networks. What’s fascinating is that when teams are free to choose both ideas and members, these benefits disappear.

Evaluating Ambiguous Offerings – it’s difficult to evaluate a novel technology if you don’t have any reference or baseline to compare it to. In this research, they find that higher evaluation is given to ambiguous product if it is primed by goal-based categorization. This is since the perceived utility of these unclear attributes is made clearer through such categories.

Heuristic methods for updating small world representations in strategic situations of Knightian uncertainty – small world representations refer to situations where a decision is simplified to a set of acts that lead to certain consequences. To update this representation in the implementation phase, the authors recommend counterfactual thinking to address confirmation bias, explore imaginable scenarios, and act on black swans.

Building greener motorhomes: How dual-purpose technical and relational capabilities affect component and full product innovation – first time I came across dual-purpose capabilities. These refer to capabilities like product modification, manufacturing, supplier and customer relationship which can not only serve current business needs but also create future business opportunities.

Are FT50 journals really leading? A comment on Fassin – The FT50 list which reflects the journals that business schools value has its own faults. As this editorial mentions: these journals have too many reviews and the citations of these journals can be gamed following Goodheart’s law.

Business and management research: Low instances of replication studies and a lack of author independence in replications – Nothing too surprising here. Management research in general is not really interested in getting things right. Fame and prestige go to people who come up with new terms and methodologies.

The Theory Crisis in Management Research: Solving the Right Problem – the thing that took a long time to click for me in management research is the role of theory and how it seemed that papers do not really accumulate to a larger whole. This article reflects on this by distinguishing between unit theories and programmatic theories.

• Unit theories – frame empirical data on specific aspects of a phenomenon
• Programmatic theory – builds on settled science, which emerges collectively from unit theories

Entrepreneurs as scientists: A pragmatist approach to producing value out of uncertainty – This is one of these studies that seems very obvious once you’ve heard of it. The study frames entrepreneurship as a process of belief formation, belief testing and response.

We are hosting a paper development workshop at the International Conference on Information Systems (ICIS) to be held in Austin, Texas this December. The title of the workshop is DEEP TECH: EMERGING OPPORTUNITIES IN INNOVATION AND ENTREPRENEURSHIP.

Deep technologies, usually referred to as technologies based on cutting-edge science with long research and development processes, are receiving increasing attention from investors and policy as a means to solve the most pressing societal challenges, leverage new business opportunities, and increase global economic growth.

Despite its potential and the recent rise of the term, deep tech remains a ‘black box’ for both practitioners (i.e. traditional investors who associate deep tech with high risks, long gestation periods, and uncertainty of their development paths), but also for IS and management scholars who have lagged in assimilating what deep tech is and the innovation processes producing deep tech. Scholarly literature defining deep tech and exploring its challenges and opportunities is scant, at best.

To respond to the increasing need to fundamentally understand deep tech, this PDW sets out to establish a shared understanding of the unique nature of deep technologies and to shed light on its implications to innovation and entrepreneurship. The PDW will start with a panel discussion with Michel Avital, Richard Baskerville, Samir Chatterjee, and Meltem Ballan, representing diverse perspectives from academia and industry.

The panel will be followed by semi-structured roundtable discussions with participants to shape emerging research opportunities for future deep tech research. All participants will give and receive feedback on their ongoing research from senior scholars and peers.

To participate in the Professional Development Workshop, please read the description found here: https://t.co/YluU7G6WfT?amp=1

If you are interested, please submit your applications to Laia Pujol Priego (lpujolp@iese.edu).

Angelo Romasanta, Ramon Llull University, ESADE Business School
Laia Pujol Priego, IESE Business School
Jonathan Wareham, Ramon Llull University, ESADE Business School
Hannes Rothe, ICN Business School

How industry projects can stimulate academic engagement: an experimental study among U.S. engineering professors – one current research interest in our group is how to incentivize researchers to engage in industry collaborations. This study is a perfect example of what we want to do in the future.

From tensions to synergy: Causation and effectuation in the process of venture creation – Causation and effectuation are two approaches to entrepreneurship. Effectuation looks at the current resources one has and then thinking what can be achieved from those means. On the other hand, causation refers to starting from the desired outcomes then working backwards to find the means to get there. This study explores these two through a diary study of entrepreneurs.

Converging Tides Lift All Boats: Consensus in Evaluation Criteria Boosts Investments in Firms in Nascent Technology Sectors – One major problem faced by new fields is the lack of criteria to evaluate their benefits. Investors don’t know how to properly assess them and thus, are discouraged from investing in them. In this mixed experimental-archival study, the researchers show the relation between consensus in evaluation criteria and investments in new fields.

Scaling up in Entrepreneurial Ecosystems: A comparative study of Entrepreneurial Ecosystems in Life Science – lists different firm and ecosystem factors crucial to scaling up.

• growth orientation
• technological expertise
• management competence to scale up
• business model and infrastructure for growth
• funding
• presence of global firms
• human capital
• support organizations
• local growth culture
• hospitals and universities