A curated scientific evidence directory
Explore peer-reviewed field experiments and meta-analyses on SaaS trials, email, paid search, referrals, content sharing and choice design. Compare methods, context and limits.
Avoid blanket advice to remove pricing plans or features just to reduce option count. Define the decision task and test whether complexity, preference uncertainty or decision goals create friction for your own users.
The study found a mean effect size close to zero, with substantial variation across conditions.
Use the moderators to form testable questions about pricing and product choice: Are plans meaningfully complex? Does the visitor know what they need? Is the decision goal clear? Validate with behavioral evidence from your own audience.
The useful point is four moderators that help explain when assortment size can have positive or negative effects: choice-set complexity, decision-task difficulty, preference uncertainty and decision goal.
For product-led and sales-assisted motions, test whether messaging or an incentive changes adoption of a second channel or product path, and measure contribution rather than channel count alone.
The experiment tests whether campaign design can cause multichannel buying and more profitable customer behavior, distinguishing communication content from financial incentives.
Map content to the reader's current task and test different sequences rather than enforcing one universal funnel. Measure meaningful downstream B2B outcomes along with engagement.
Content judged relevant to a particular customer-journey stage increased engagement with both the selling firm and its content.
When studying a paid plan or membership, distinguish benefit-driven usage from behavioral effects of the upfront commitment. Segment responses and evaluate retention and margin alongside purchase volume.
Subscription increased customer purchases, with economically meaningful and persistent effects that varied across customers.
Measure how campaigns affect more than the final conversion event, while preserving the experimental control that supports causal estimates. Check the paper's full results before mapping its model to a SaaS funnel.
The paper uses randomized exposure data to estimate how display advertising affects multiple purchase-funnel outcomes rather than relying only on last-click attribution.
Evaluate organic-search investments over an appropriate time window and distinguish durable qualified demand from transient ranking or click changes. Consult the full paper before applying its model or effect estimates.
The paper treats keyword choice and marketing expenditure as having both short- and long-run performance implications, challenging evaluation based only on immediate traffic response.
Useful for designing search suggestions and content discovery on a site or product. Test whether suggested paths help visitors find what they need without suppressing valuable self-directed exploration.
Trending keywords increased chance of buying by 10.4% and spending by 8.8% versus an empty search bar.
An operational map for B2B content: understand buying jobs, build problem-framing and problem-solving assets, and distribute them when buyers need them. Treat the proposed performance relationships as hypotheses to test.
The authors organize the work into journey intelligence, a portfolio of valuable content, and timely sharing matched to buyer needs.
A useful map for planning acquisition content and post-sale education together. Follow the buyer through deployment and reassessment rather than stopping the journey at the contract.
Defines B2B journeys as intertwined, goal-oriented paths through both purchase and use, involving multiple buying- and usage-center members, direct and indirect touchpoints, and relational context.
A reminder to design digital touchpoints for the full B2B relationship, including customer use and service. Transfer cautiously because the studied offerings are large, complex industrial products.
The study identifies changes to digital touchpoints, customer and supplier roles, and the journey process.
A broad synthesis of review signals and trust factors. Use it to form hypotheses for SaaS proof and reputation pages, while measuring actual qualified conversion rather than intention alone.
All analyzed review antecedents were significantly related to purchase intention; review valence had the largest reported association (r = 0.563).
Use this paper as evidence about app adoption: the effect on purchasing of customers who have used a mobile website previously in the stated context; compare its population, treatment and outcome with your own decision.
App adopters have higher purchase incidence, purchase more frequently, and spend more per order than non-adopters. The app effect on order size is stronger for customers with a lower share of high-price-category spending and for less-loyal customers, consistent with reduced perceived financial risk and potentially improved loyalty.
Use this paper as evidence about b2b relationships on the fast track: an empirical investigation into the outcomes of solution provision in the stated context; compare its population, treatment and outcome with your own decision.
Solution provision increased retention, sales volume, and cross-selling for recent customers (an accelerator role), while established customers did not show the same increases.
Use this paper as evidence about customer lifetime value measurement in the stated context; compare its population, treatment and outcome with your own decision.
Jointly modeling purchase timing, amount, and defection predicts customer lifetime value and valuable-customer targeting better than extended NBD–Pareto, RFM, nested, and heuristic benchmarks. Longer interpurchase times predict larger purchase amounts and greater leaving risk; female and male customers show similar timing/risk patterns, while female customers spend less.
Use this paper as evidence about stimulating data marketplace adoption in manufacturing: the impact of perceived control on willingness to share data in the stated context; compare its population, treatment and outcome with your own decision.
Perceived control significantly increased willingness to share; lower risk perceptions partially mediated the effect, whereas trust in data buyers did not mediate it.
Use this paper as evidence about dynamic customer management and the value of one-to-one marketing in the stated context; compare its population, treatment and outcome with your own decision.
Customizing promotions increased simulated profits over uniform promotions. Free shipping was preferred for re-acquiring lapsed customers, while discount coupons worked best for active customers; temporal within-customer heterogeneity mattered more than cross-sectional heterogeneity.
Use this paper as evidence about evaluating the drivers of b2b performance: an empirical analysis based on alibaba in the stated context; compare its population, treatment and outcome with your own decision.
Service capability and logistics capability positively affected B2B performance; customer attention mediated these effects, including significant indirect effects for service capability (β=.148) and logistics capability (β=.084), both p<.01.
Use this study as a bounded example related to mobile app introduction and online and offline purchases and product returns; evaluate whether its customers, intervention and outcome match your own context.
After launch, adopters bought 33% more frequently, 34% more items and spent 37% more, but returned 35% more frequently, 35% more items and 41% more in value; net monetary value was 36% higher.
Use this study as a bounded example related to a dynamic model of the duration of the customer’s relationship with a continuous service provider: the role of satisfaction; evaluate whether its customers, intervention and outcome match your own context.
Pre-cancellation satisfaction is positively related to relationship duration. Experienced customers weight cumulative satisfaction more heavily; transactions and failures affect duration through satisfaction-dependent contrast/assimilation effects.
Use this study as a bounded example related to how should consumers’ willingness to pay be measured? an empirical comparison of state-of-the-art approaches; evaluate whether its customers, intervention and outcome match your own context.
BDM and incentive-aligned CBC passed statistical and decision-oriented tests. Incentive-aligned settings produced greater price sensitivity and more 'none' choices; non-incentive methods can nevertheless yield useful demand curves and pricing decisions.
Use this study as a bounded example of electronic word-of-mouth (ewom) on social networking sites (sns): roles of information credibility in shaping online purchase intention; assess whether its population, intervention and outcome match your own decision.
Information credibility significantly influenced information usefulness and information adoption. Usefulness shaped attitudes but did not directly affect purchase intention; a positive attitude did not necessarily produce information adoption. Information adoption was a critical determinant of online purchase intention.
Use to shape a locally controlled channel or message test; account for audience, timing and attribution limits before reallocating budget.
Personalized recommendations increased purchase propensity 12.4% and basket value 1.7%; effects were largely mediated by consideration-set changes, especially breadth.
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Finer-grained recommendation sets reduced response despite better products; effect was stronger for more engaged consumers.
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Publisher abstract/search result reports causal evidence for both complementarity and cannibalization between offline and online targeting.
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
The paper uses causal online-test evidence to study how marketing information can be captured and used for growth.
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Profiles were interpretable; internal-only data could be biased; search engines covered less activity but had higher data quality and could recover profiles; simulation showed targeting gains.
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Seller Hub increased data-driven decision making and revenues 3.6%; more items transacted and service quality rose without average-price increases; over one-third of impact came from active monitoring.
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
The dynamic model received support in the field test, while results also identified opportunities for improvement over the model.
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Customer satisfaction, marketing effort, cross-buying and multichannel purchasing were positively related to CLV; purchase frequency and monetary value were generally positive but had contradictory findings.
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Confidence benefits, special-treatment benefits and brand credibility positively affected satisfaction and commitment; brand credibility was most influential toward satisfaction, commitment and ultimately CLV. Functional and technical quality did not significantly affect satisfaction.
Use to frame a lifecycle hypothesis and define customer-level outcomes; check whether the study's market and retention horizon resemble yours.
Membership is associated with differences in purchase behavior, providing evidence for evaluating loyalty-program retention/value claims.
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
The paper tests effects on perceived credibility and purchase intention, with personality matching as a moderator.
Use to shape a locally controlled channel or message test; account for audience, timing and attribution limits before reallocating budget.
The study estimates relationships between perceived social-media marketing activities and online impulse buying.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Live features are examined as antecedents of flow experience and social presence, which are linked to purchase intention.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Trust in products and sellers during live-stream shopping positively correlates with purchase intention; the model tests affordances through S-O-R mechanisms.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Perceived diagnosticity is tested as a driver of purchase intention, with streamer type, product type, and brand awareness moderating effects.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
The study tests how social commerce affects online community engagement, a growth-relevant behavioral outcome.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
The experiments show that failure/recovery outcomes depend on failure and recovery attributes and customer responses; recovery can improve evaluations, but superior recovery does not uniformly erase the damage of failure.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Perceived justice affects satisfaction and behavioral intent following failure/recovery; satisfaction partially mediates effects of justice on word of mouth and intent.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
The study tests how perceived justice shapes evaluations of consumption experiences, extending complaint/service-recovery justice logic to broader service encounters.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
High-type men were more likely to verify, while medium-type women were most likely; verified users received more contacts from higher-type users, became more proactive, and voluntary verification facilitated desirable matching outcomes.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Trust, perceived usefulness and perceived ease of use jointly explained intended online-shopping behavior; trust complemented TAM.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
The four-service empirical results supported motivational influences on intention; the relative importance of antecedents differed across services.
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Naive methods overestimate peer influence by 300–700%; homophily explains more than 50% of perceived contagion in the analyzed adoption network.
Use it as a B2B mechanism or sales-process design reference. Validate the relationship in your deal size, buying committee and sales cycle.
Customization and loyalty to the account manager are salient drivers of purchase engagement. Engagement predicts consideration-set size, dependence and willingness to pay a premium; dependence mediates effects on consideration-set size and premium willingness to pay.
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
Trust and perceived risk strongly affected purchasing decisions. Disposition to trust, reputation, privacy concerns, security concerns, website information quality, and company reputation strongly affected trust; a third-party seal did not strongly influence trust.
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
For Malaysian consumers, age, trust, cost, social influence, and variety of services predicted adoption decisions; for Chinese consumers, trust, cost, and social influence predicted adoption. The publisher highlights that traditional TAM variables alone were unable to predict m-commerce adoption and that culture mattered.
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
The study found extensive cross-channel effects, direct effects on early and later funnel stages, and substantially higher profit impact for online customer-initiated contacts than offline firm-initiated contacts. A budget-shifting field experiment produced net profit increases 14 times larger than the status-quo allocation.
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
The model produced good predictions of the sales peak and its timing when applied to historical data, and provided a long-range color-television sales forecast.
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
Adding hedonic motivation, price value, and habit to UTAUT substantially increased explained variance: behavioral intention from 56% to 74% and technology use from 40% to 52%; age, gender, and experience were modeled as moderators.
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
Mean ratings of substitutive products negatively affect focal-product purchase while ratings of complementary products have a positive effect; spillovers are stronger on mobile, across different brands for substitutive products, among less experienced consumers, and when rating variance is lower.
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
App adoption increased the manufacturer's annual sales revenue by 19.11%–22.79%; return on engagement remained positive after development costs, and was higher when buyers created more projects in the app.
Treat this as evidence for the specific b2b growth and sales question studied. Compare the setting and sample to your company before changing a growth decision; use a local experiment where the paper does not match your context.
Collaboration and exchange among buying-center members are more effective than competition/power struggles. Virtual/hybrid relations require greater intra-group cooperation; diverse backgrounds and collaboration support flexibility and performance. Technology increases certainty and automation but can create overload and biases, requiring analytical ability and clear decision responsibility. For a founder, use this as a question to test in your own context, not a universal playbook.
Treat this as evidence for the specific pricing and monetization question studied. Compare the setting and sample to your company before changing a growth decision; use a local experiment where the paper does not match your context.
Perceived usefulness, ease of use, and enjoyment positively related to perceived value; perceived value positively related to satisfaction, continuance intention, and purchase intention. Satisfaction and continuance intention did not significantly predict purchase intention. Content and users' emotional responses were important to use and subscription decisions. For a founder, use this as a question to test in your own context, not a universal playbook.
Treat this as evidence for the specific customer behavior and adoption question studied. Compare the setting and sample to your company before changing a growth decision; use a local experiment where the paper does not match your context.
Access-based journeys are systemic, tightly coupled and vulnerable to circularity failures; customers act as prosumers and bypass, stretch or hack platform policies to personalize journeys. Job crafting can create individual value and collective problems, but can also reveal innovations that platforms may formalize. Managers therefore need agility and monitoring rather than assuming a fully controllable linear journey. For a founder, use this as a question to test in your own context, not a universal playbook.
Treat this as evidence for the specific b2b growth and sales question studied. Compare the setting and sample to your company before changing a growth decision; use a local experiment where the paper does not match your context.
Buyer engagement depends on supplier-selection criteria, buyer role/readiness and project-specific factors; positive prior attitudes, perceived value and willingness predict co-creation intention. For a founder, use this as a question to test in your own context, not a universal playbook.
Treat this as evidence for the specific customer behavior and adoption question studied. Compare the setting and sample to your company before changing a growth decision; use a local experiment where the paper does not match your context.
Emerging-technology integration was positively related to organizational, process and product/service innovation across both continents; African enterprises showed stronger process-innovation adaptability despite infrastructure limits; gender differences affected product/service-innovation perceptions. For a founder, use this as a question to test in your own context, not a universal playbook.
Use as a measurement/design checklist for onboarding and support, then validate which service-quality dimensions predict SaaS activation, expansion, and renewal in your segment.
E-service-quality dimensions have meaningful relationships with customer evaluations and behavioral outcomes, but effects depend on measurement and context. Founder-use interpretation: Use as a measurement/design checklist for onboarding and support, then validate which service-quality dimensions predict SaaS activation, expansion, and renewal in your segment.
Use this as a question to test in your own product context, not as a universal benchmark. The publisher abstract does not provide an explicit limitations section or a causal identification strategy. Because the evidence is observational and tied to Freshmeat.net/project-home-page listings, representativeness and causal interpretation beyond those projects remain uncertain.
License restrictiveness and organizational sponsorship interacted: users were most attracted to projects sponsored by nonmarket organizations and using nonrestrictive licenses. Licensing and sponsorship also addressed complementary developer motivations, so licensing’s relationship with development activity depended on sponsor type. Founder-use interpretation: Use this as a question to test in your own product context, not as a universal benchmark. The publisher abstract does not provide an explicit limitations section or a causal identification strategy. Because the evidence is observational and tied to Freshmeat.net/project-home-page listings, representativeness and causal interpretation beyond those projects remain uncertain.
Provide machine-readable evidence, governance, and cross-functional consensus support in procurement workflows.
AI adoption is expected to increase reliance on AI-generated input, reduce organizational buying-center size, and increase coordination while reducing conflict.
Measure functional, economic, emotional, and social value separately in pricing and positioning research.
Perceived value is multidimensional and consistently related to important customer outcomes, with effects depending on context and value dimensions.
Treat scale-up as capability/process redesign: define priorities, surface trade-offs and deliberately build dynamic capabilities.
Scaling combines internal activities, priorities and trade-offs; four priorities/tensions emerge, and dynamic capabilities help balance them.
Invest in data capabilities and agile operating routines together; technology alone is unlikely to deliver innovation gains.
Digital transformation improved innovation performance through big-data capabilities and organizational agility.
Balance discovery with disciplined exploitation; prioritize operational digital capability and resource collaboration when scaling a SaaS model.
Exploratory and exploitative learning both predicted business-model innovation; exploitative learning was stronger, with digital sensing, operations and resource collaboration partially mediating.
Match monetization to value type: feature gating for functional value, virtual goods where hedonic/social value dominates.
Functional, hedonic, social, and price value in the free version predicted willingness to pay; effects differed between limited-feature and virtual-item monetization.
Test earlier account creation carefully; measure long-run monetization rather than only immediate signup conversion.
Requesting registration before shopping raised registration probability 58.08% relatively and increased long-run purchases, orders, and revenue, without changing short-run conversion.
Address status-quo inertia and loss aversion explicitly in cloud sales, migration and change plans.
Inertia affects non-adopters; adopters emphasize benefits; non-adopters are more influenced by loss aversion; prior adopters did not consider risks as expected.
Use the review’s themes to audit digital venture design: platform/ecosystem position, technology-enabled value creation, resource constraints, and the capabilities needed to turn digital activity into a business model.
Identifies themes, contexts, methods, and gaps in digital entrepreneurship research; digital technologies affect venture formation and business models while resource and know-how constraints remain important for smaller firms.
Use IT to make external collaboration executable, then measure product/process outcomes from open innovation.
IT resource investment enabled open-innovation initiatives, which improved open product and process innovation performance.
Ask teams what blocks productive work and use those responses to prioritize tooling and process improvements.
Explores how productivity is perceived within software teams and what contextual factors shape those perceptions.
Build expertise-led content that supports buyer education and sales conversations.
Synthesizes thought-leadership knowledge and transfers relevant B2C insights to B2B marketing and sales.
Instrument customer discovery and experimentation as explicit organizational learning, while benchmarking competitors and recruiting complementary team skills.
Start-ups used customers, benchmarking, prior experience, competitors, consultants, internal ideas and educational content; teams and active experimentation were dominant learning mechanisms.
Segment pricing presentation: deal-oriented users may respond differently to free versus paid framing.
Individual differences in need for closure and deal proneness shape preference for freemium versus premium price choices.
Pair IT investment with customer/market learning routines, not just internal knowledge reuse.
IT capability had a significant association with innovation performance; exploratory learning mainly mediated the relationship while enabling exploitation of existing knowledge.
Use the map to build a balanced measurement model rather than adopting a single productivity proxy.
Maps how software productivity is defined, measured, and studied in practice.
Diagnose capability, culture, and customer barriers before prescribing a channel or tool.
Internal and external factors both enable and constrain digital-marketing practice; one-size-fits-all approaches are inappropriate.
Audit whether the team has the people, technical base and innovation routines needed for both product and process digitalization.
Human, technical and innovation capabilities contributed to digital market offerings; human, collaboration and technical capabilities contributed to digital business processes.
Connect digital feature work to explicit business-model changes and performance metrics, not adoption counts alone.
Business-model innovation practices were examined as mechanisms through which digitalizing SMEs can improve performance.
Measure whether the firm can absorb partner knowledge when evaluating platform/API and collaboration investments.
IT capability directly affected open-innovation performance and also indirectly through absorptive capacity.
Link positioning choices to systematic customer intelligence and competitive response.
Examines links among market orientation, positioning strategy, and brand performance.
Adapt release controls to company maturity; do not copy enterprise or startup practices without context.
Compares release-engineering practices across organizational scale and maturity.
Diagnose transformation as a bundle of entrepreneurial capabilities and resource choices rather than a software purchase.
The capability perspective explains how SME entrepreneurs undertake digital transformation under resource constraints.
Pilot TDD with explicit quality and productivity measures rather than assuming tests automatically accelerate delivery.
Tests the effects of TDD on external quality and productivity in an industrial setting.
Use the study’s platform, complementor, API, ecosystem, open-source, or standards implications to guide governance, partner incentives, integration priorities, and ecosystem experimentation; validate in the founder’s market.
The fetched metadata identifies this peer-reviewed work as addressing mobile application developers' platform choice model. Detailed findings were not exposed in the fetched abstract.
Map the SaaS journey end to end, assign ownership across marketing/product/support, and measure friction between stages.
Customer experience is cumulative across pre-purchase, purchase, and post-purchase touchpoints, including customer and partner interactions.
Use the study’s platform, complementor, API, ecosystem, open-source, or standards implications to guide governance, partner incentives, integration priorities, and ecosystem experimentation; validate in the founder’s market.
The fetched metadata identifies this peer-reviewed work as addressing satisfying heterogeneous user needs via innovation toolkits: the case of apache security software. Detailed findings were not exposed in the fetched abstract.
Track delivered performance directly instead of relying only on expectation gaps; use this in product and support instrumentation.
Replicates support for performance-only service-quality measurement (SERVPERF) and model service quality as an antecedent of satisfaction.
Use the study’s platform, complementor, API, ecosystem, open-source, or standards implications to guide governance, partner incentives, integration priorities, and ecosystem experimentation; validate in the founder’s market.
The fetched metadata identifies this peer-reviewed work as addressing permits, standards, and technology innovation. Detailed findings were not exposed in the fetched abstract.
Measure perceived value and quality separately from satisfaction; improve the complete service experience to support expansion intent.
Quality, value, and satisfaction each relate directly to behavioral intentions; indirect effects also matter.
Translate reliability and support improvements into retention and lifetime-value scenarios before prioritizing roadmap work.
Quality improvements can be evaluated through their effects on retention, usage, and customer economics rather than satisfaction alone.
Make security, reliability, policies, and third-party proof visible at high-risk conversion points.
Trust and perceived risk jointly shape purchase intention; signals about vendor trustworthiness can reduce uncertainty.
Understand who controls standards, integration, and switching before choosing sales channels or ecosystem strategy.
Interorganizational power and organizational factors help explain adoption choices and governance of EDI relationships.
Use the themes to frame platform, data, services and recurring-value strategy.
Four themes dominate: aligning digitalization and servitization, value co-creation, platform strategy, and business-model innovation.
Balance partnership depth with governance, independent measurement and exit options.
Social capital has an inverted-curvilinear relationship with performance: too little or too much can hurt objectivity and enable opportunism.
Segment explanations and onboarding by user expertise; assess calibration.
Expertise changes trust and willingness to follow XAI; explanations do not have uniform effects.
Make security/privacy/portability concrete in enterprise sales and architecture; avoid over-investing in availability/integration messaging as the primary adoption blocker.
Security, data privacy, and portability were adoption inhibitors; security concern increased non-adoption likelihood up to 26-fold, while availability, integration, and migration complexity were not likely to hold back adoption.
Sets realistic expectations for open-sourcing a product: external volume can be substantial, but employees may need to staff core maintenance, review, integration, and community stewardship.
Internal developers made 43.3% of pull requests and external developers 56.7%; employees still held central roles despite external support. Most external developers were casual single-contribution participants, while some external members handled core activities such as triage, review, and integration.
Shows how customer-facing value communication across a customer's value chain can support premium pricing for developer tools and industrial data products.
Comprehensive multi-stage marketing significantly increased purchasing agents' willingness to pay, mainly through relationship-value perceptions, especially when the customer was less powerful toward its own customers.
Build sensing, rapid experimentation, portfolio choices, and transformation routines into the company-s operating model rather than treating digital transformation as a one-off project.
The process model identifies nine microfoundations; digital sensing, seizing, and transforming capabilities support ongoing transformation, with agility central to renewal of business model, collaboration, and culture.